how do you plan your research

How to write a research plan: Step-by-step guide

Last updated

30 January 2024

Reviewed by

Today’s businesses and institutions rely on data and analytics to inform their product and service decisions. These metrics influence how organizations stay competitive and inspire innovation. However, gathering data and insights requires carefully constructed research, and every research project needs a roadmap. This is where a research plan comes into play.

There’s general research planning; then there’s an official, well-executed research plan. Whatever data-driven research project you’re gearing up for, the research plan will be your framework for execution. The plan should also be detailed and thorough, with a diligent set of criteria to formulate your research efforts. Not including these key elements in your plan can be just as harmful as having no plan at all.

Read this step-by-step guide for writing a detailed research plan that can apply to any project, whether it’s scientific, educational, or business-related.

• What is a research plan?

A research plan is a documented overview of a project in its entirety, from end to end. It details the research efforts, participants, and methods needed, along with any anticipated results. It also outlines the project’s goals and mission, creating layers of steps to achieve those goals within a specified timeline.

Without a research plan, you and your team are flying blind, potentially wasting time and resources to pursue research without structured guidance.

The principal investigator, or PI, is responsible for facilitating the research oversight. They will create the research plan and inform team members and stakeholders of every detail relating to the project. The PI will also use the research plan to inform decision-making throughout the project.

• Why do you need a research plan?

Create a research plan before starting any official research to maximize every effort in pursuing and collecting the research data. Crucially, the plan will model the activities needed at each phase of the research project.

Like any roadmap, a research plan serves as a valuable tool providing direction for those involved in the project—both internally and externally. It will keep you and your immediate team organized and task-focused while also providing necessary definitions and timelines so you can execute your project initiatives with full understanding and transparency.

External stakeholders appreciate a working research plan because it’s a great communication tool, documenting progress and changing dynamics as they arise. Any participants of your planned research sessions will be informed about the purpose of your study, while the exercises will be based on the key messaging outlined in the official plan.

Here are some of the benefits of creating a research plan document for every project:

Project organization and structure

Well-informed participants

All stakeholders and teams align in support of the project

Clearly defined project definitions and purposes

Distractions are eliminated, prioritizing task focus

Timely management of individual task schedules and roles

Costly reworks are avoided

• What should a research plan include?

The different aspects of your research plan will depend on the nature of the project. However, most official research plan documents will include the core elements below. Each aims to define the problem statement, devising an official plan for seeking a solution.

Specific project goals and individual objectives

Ideal strategies or methods for reaching those goals

Required resources

Descriptions of the target audience, sample sizes, demographics, and scopes

Key performance indicators (KPIs)

Project background

Research and testing support

Preliminary studies and progress reporting mechanisms

Cost estimates and change order processes

Depending on the research project’s size and scope, your research plan could be brief—perhaps only a few pages of documented plans. Alternatively, it could be a fully comprehensive report. Either way, it’s an essential first step in dictating your project’s facilitation in the most efficient and effective way.

• How to write a research plan for your project

When you start writing your research plan, aim to be detailed about each step, requirement, and idea. The more time you spend curating your research plan, the more precise your research execution efforts will be.

Account for every potential scenario, and be sure to address each and every aspect of the research.

Consider following this flow to develop a great research plan for your project:

Define your project’s purpose

Start by defining your project’s purpose. Identify what your project aims to accomplish and what you are researching. Remember to use clear language.

Thinking about the project’s purpose will help you set realistic goals and inform how you divide tasks and assign responsibilities. These individual tasks will be your stepping stones to reach your overarching goal.

Additionally, you’ll want to identify the specific problem, the usability metrics needed, and the intended solutions.

Know the following three things about your project’s purpose before you outline anything else:

What you’re doing

Why you’re doing it

What you expect from it

Identify individual objectives

With your overarching project objectives in place, you can identify any individual goals or steps needed to reach those objectives. Break them down into phases or steps. You can work backward from the project goal and identify every process required to facilitate it.

Be mindful to identify each unique task so that you can assign responsibilities to various team members. At this point in your research plan development, you’ll also want to assign priority to those smaller, more manageable steps and phases that require more immediate or dedicated attention.

Select research methods

Research methods might include any of the following:

User interviews: this is a qualitative research method where researchers engage with participants in one-on-one or group conversations. The aim is to gather insights into their experiences, preferences, and opinions to uncover patterns, trends, and data.

Field studies: this approach allows for a contextual understanding of behaviors, interactions, and processes in real-world settings. It involves the researcher immersing themselves in the field, conducting observations, interviews, or experiments to gather in-depth insights.

Card sorting: participants categorize information by sorting content cards into groups based on their perceived similarities. You might use this process to gain insights into participants’ mental models and preferences when navigating or organizing information on websites, apps, or other systems.

Focus groups: use organized discussions among select groups of participants to provide relevant views and experiences about a particular topic.

Diary studies: ask participants to record their experiences, thoughts, and activities in a diary over a specified period. This method provides a deeper understanding of user experiences, uncovers patterns, and identifies areas for improvement.

Five-second testing: participants are shown a design, such as a web page or interface, for just five seconds. They then answer questions about their initial impressions and recall, allowing you to evaluate the design’s effectiveness.

Surveys: get feedback from participant groups with structured surveys. You can use online forms, telephone interviews, or paper questionnaires to reveal trends, patterns, and correlations.

Tree testing: tree testing involves researching web assets through the lens of findability and navigability. Participants are given a textual representation of the site’s hierarchy (the “tree”) and asked to locate specific information or complete tasks by selecting paths.

Usability testing: ask participants to interact with a product, website, or application to evaluate its ease of use. This method enables you to uncover areas for improvement in digital key feature functionality by observing participants using the product.

Live website testing: research and collect analytics that outlines the design, usability, and performance efficiencies of a website in real time.

There are no limits to the number of research methods you could use within your project. Just make sure your research methods help you determine the following:

What do you plan to do with the research findings?

What decisions will this research inform? How can your stakeholders leverage the research data and results?

Recruit participants and allocate tasks

Next, identify the participants needed to complete the research and the resources required to complete the tasks. Different people will be proficient at different tasks, and having a task allocation plan will allow everything to run smoothly.

Prepare a thorough project summary

Every well-designed research plan will feature a project summary. This official summary will guide your research alongside its communications or messaging. You’ll use the summary while recruiting participants and during stakeholder meetings. It can also be useful when conducting field studies.

Ensure this summary includes all the elements of your research project. Separate the steps into an easily explainable piece of text that includes the following:

An introduction: the message you’ll deliver to participants about the interview, pre-planned questioning, and testing tasks.

Interview questions: prepare questions you intend to ask participants as part of your research study, guiding the sessions from start to finish.

An exit message: draft messaging your teams will use to conclude testing or survey sessions. These should include the next steps and express gratitude for the participant’s time.

Create a realistic timeline

While your project might already have a deadline or a results timeline in place, you’ll need to consider the time needed to execute it effectively.

Realistically outline the time needed to properly execute each supporting phase of research and implementation. And, as you evaluate the necessary schedules, be sure to include additional time for achieving each milestone in case any changes or unexpected delays arise.

For this part of your research plan, you might find it helpful to create visuals to ensure your research team and stakeholders fully understand the information.

Determine how to present your results

A research plan must also describe how you intend to present your results. Depending on the nature of your project and its goals, you might dedicate one team member (the PI) or assume responsibility for communicating the findings yourself.

In this part of the research plan, you’ll articulate how you’ll share the results. Detail any materials you’ll use, such as:

Presentations and slides

A project report booklet

A project findings pamphlet

Documents with key takeaways and statistics

Graphic visuals to support your findings

• Format your research plan

As you create your research plan, you can enjoy a little creative freedom. A plan can assume many forms, so format it how you see fit. Determine the best layout based on your specific project, intended communications, and the preferences of your teams and stakeholders.

Find format inspiration among the following layouts:

Written outlines

Narrative storytelling

Visual mapping

Graphic timelines

Remember, the research plan format you choose will be subject to change and adaptation as your research and findings unfold. However, your final format should ideally outline questions, problems, opportunities, and expectations.

• Research plan example

Imagine you’ve been tasked with finding out how to get more customers to order takeout from an online food delivery platform. The goal is to improve satisfaction and retain existing customers. You set out to discover why more people aren’t ordering and what it is they do want to order or experience. 

You identify the need for a research project that helps you understand what drives customer loyalty. But before you jump in and start calling past customers, you need to develop a research plan—the roadmap that provides focus, clarity, and realistic details to the project.

Here’s an example outline of a research plan you might put together:

Project title

Project members involved in the research plan

Purpose of the project (provide a summary of the research plan’s intent)

Objective 1 (provide a short description for each objective)

Objective 2

Objective 3

Proposed timeline

Audience (detail the group you want to research, such as customers or non-customers)

Budget (how much you think it might cost to do the research)

Risk factors/contingencies (any potential risk factors that may impact the project’s success)

Remember, your research plan doesn’t have to reinvent the wheel—it just needs to fit your project’s unique needs and aims.

Customizing a research plan template

Some companies offer research plan templates to help get you started. However, it may make more sense to develop your own customized plan template. Be sure to include the core elements of a great research plan with your template layout, including the following:

Introductions to participants and stakeholders

Background problems and needs statement

Significance, ethics, and purpose

Research methods, questions, and designs

Preliminary beliefs and expectations

Implications and intended outcomes

Realistic timelines for each phase

Conclusion and presentations

How many pages should a research plan be?

Generally, a research plan can vary in length between 500 to 1,500 words. This is roughly three pages of content. More substantial projects will be 2,000 to 3,500 words, taking up four to seven pages of planning documents.

What is the difference between a research plan and a research proposal?

A research plan is a roadmap to success for research teams. A research proposal, on the other hand, is a dissertation aimed at convincing or earning the support of others. Both are relevant in creating a guide to follow to complete a project goal.

What are the seven steps to developing a research plan?

While each research project is different, it’s best to follow these seven general steps to create your research plan:

Defining the problem

Identifying goals

Choosing research methods

Recruiting participants

Preparing the brief or summary

Establishing task timelines

Defining how you will present the findings

Get started today

Go from raw data to valuable insights with a flexible research platform

Editor’s picks

Last updated: 21 December 2023

Last updated: 16 December 2023

Last updated: 6 October 2023

Last updated: 5 March 2024

Last updated: 25 November 2023

Last updated: 15 February 2024

Last updated: 11 March 2024

Last updated: 12 December 2023

Last updated: 6 March 2024

Last updated: 10 April 2023

Last updated: 20 December 2023

Latest articles

Related topics, log in or sign up.

Get started for free

Illustration by James Round

How to plan a research project

Whether for a paper or a thesis, define your question, review the work of others – and leave yourself open to discovery.

by Brooke Harrington   + BIO

is professor of sociology at Dartmouth College in New Hampshire. Her research has won international awards both for scholarly quality and impact on public life. She has published dozens of articles and three books, most recently the bestseller Capital without Borders (2016), now translated into five languages.

Edited by Sam Haselby

Need to know

‘When curiosity turns to serious matters, it’s called research.’ – From Aphorisms (1880-1905) by Marie von Ebner-Eschenbach

Planning research projects is a time-honoured intellectual exercise: one that requires both creativity and sharp analytical skills. The purpose of this Guide is to make the process systematic and easy to understand. While there is a great deal of freedom and discovery involved – from the topics you choose, to the data and methods you apply – there are also some norms and constraints that obtain, no matter what your academic level or field of study. For those in high school through to doctoral students, and from art history to archaeology, research planning involves broadly similar steps, including: formulating a question, developing an argument or predictions based on previous research, then selecting the information needed to answer your question.

Some of this might sound self-evident but, as you’ll find, research requires a different way of approaching and using information than most of us are accustomed to in everyday life. That is why I include orienting yourself to knowledge-creation as an initial step in the process. This is a crucial and underappreciated phase in education, akin to making the transition from salaried employment to entrepreneurship: suddenly, you’re on your own, and that requires a new way of thinking about your work.

What follows is a distillation of what I’ve learned about this process over 27 years as a professional social scientist. It reflects the skills that my own professors imparted in the sociology doctoral programme at Harvard, as well as what I learned later on as a research supervisor for Ivy League PhD and MA students, and then as the author of award-winning scholarly books and articles. It can be adapted to the demands of both short projects (such as course term papers) and long ones, such as a thesis.

At its simplest, research planning involves the four distinct steps outlined below: orienting yourself to knowledge-creation; defining your research question; reviewing previous research on your question; and then choosing relevant data to formulate your own answers. Because the focus of this Guide is on planning a research project, as opposed to conducting a research project, this section won’t delve into the details of data-collection or analysis; those steps happen after you plan the project. In addition, the topic is vast: year-long doctoral courses are devoted to data and analysis. Instead, the fourth part of this section will outline some basic strategies you could use in planning a data-selection and analysis process appropriate to your research question.

Step 1: Orient yourself

Planning and conducting research requires you to make a transition, from thinking like a consumer of information to thinking like a producer of information. That sounds simple, but it’s actually a complex task. As a practical matter, this means putting aside the mindset of a student, which treats knowledge as something created by other people. As students, we are often passive receivers of knowledge: asked to do a specified set of readings, then graded on how well we reproduce what we’ve read.

Researchers, however, must take on an active role as knowledge producers . Doing research requires more of you than reading and absorbing what other people have written: you have to engage in a dialogue with it. That includes arguing with previous knowledge and perhaps trying to show that ideas we have accepted as given are actually wrong or incomplete. For example, rather than simply taking in the claims of an author you read, you’ll need to draw out the implications of those claims: if what the author is saying is true, what else does that suggest must be true? What predictions could you make based on the author’s claims?

In other words, rather than treating a reading as a source of truth – even if it comes from a revered source, such as Plato or Marie Curie – this orientation step asks you to treat the claims you read as provisional and subject to interrogation. That is one of the great pieces of wisdom that science and philosophy can teach us: that the biggest advances in human understanding have been made not by being correct about trivial things, but by being wrong in an interesting way . For example, Albert Einstein was wrong about quantum mechanics, but his arguments about it with his fellow physicist Niels Bohr have led to some of the biggest breakthroughs in science, even a century later.

Step 2: Define your research question

Students often give this step cursory attention, but experienced researchers know that formulating a good question is sometimes the most difficult part of the research planning process. That is because the precise language of the question frames the rest of the project. It’s therefore important to pose the question carefully, in a way that’s both possible to answer and likely to yield interesting results. Of course, you must choose a question that interests you, but that’s only the beginning of what’s likely to be an iterative process: most researchers come back to this step repeatedly, modifying their questions in light of previous research, resource limitations and other considerations.

Researchers face limits in terms of time and money. They, like everyone else, have to pose research questions that they can plausibly answer given the constraints they face. For example, it would be inadvisable to frame a project around the question ‘What are the roots of the Arab-Israeli conflict?’ if you have only a week to develop an answer and no background on that topic. That’s not to limit your imagination: you can come up with any question you’d like. But it typically does require some creativity to frame a question that you can answer well – that is, by investigating thoroughly and providing new insights – within the limits you face.

In addition to being interesting to you, and feasible within your resource constraints, the third and most important characteristic of a ‘good’ research topic is whether it allows you to create new knowledge. It might turn out that your question has already been asked and answered to your satisfaction: if so, you’ll find out in the next step of this process. On the other hand, you might come up with a research question that hasn’t been addressed previously. Before you get too excited about breaking uncharted ground, consider this: a lot of potentially researchable questions haven’t been studied for good reason ; they might have answers that are trivial or of very limited interest. This could include questions such as ‘Why does the area of a circle equal π r²?’ or ‘Did winter conditions affect Napoleon’s plans to invade Russia?’ Of course, you might be able to make the argument that a seemingly trivial question is actually vitally important, but you must be prepared to back that up with convincing evidence. The exercise in the ‘Learn More’ section below will help you think through some of these issues.

Finally, scholarly research questions must in some way lead to new and distinctive insights. For example, lots of people have studied gender roles in sports teams; what can you ask that hasn’t been asked before? Reinventing the wheel is the number-one no-no in this endeavour. That’s why the next step is so important: reviewing previous research on your topic. Depending on what you find in that step, you might need to revise your research question; iterating between your question and the existing literature is a normal process. But don’t worry: it doesn’t go on forever. In fact, the iterations taper off – and your research question stabilises – as you develop a firm grasp of the current state of knowledge on your topic.

Step 3: Review previous research

In academic research, from articles to books, it’s common to find a section called a ‘literature review’. The purpose of that section is to describe the state of the art in knowledge on the research question that a project has posed. It demonstrates that researchers have thoroughly and systematically reviewed the relevant findings of previous studies on their topic, and that they have something novel to contribute.

Your own research project should include something like this, even if it’s a high-school term paper. In the research planning process, you’ll want to list at least half a dozen bullet points stating the major findings on your topic by other people. In relation to those findings, you should be able to specify where your project could provide new and necessary insights. There are two basic rhetorical positions one can take in framing the novelty-plus-importance argument required of academic research:

• Position 1 requires you to build on or extend a set of existing ideas; that means saying something like: ‘Person A has argued that X is true about gender; this implies Y, which has not yet been tested. My project will test Y, and if I find evidence to support it, that will change the way we understand gender.’
• Position 2 is to argue that there is a gap in existing knowledge, either because previous research has reached conflicting conclusions or has failed to consider something important. For example, one could say that research on middle schoolers and gender has been limited by being conducted primarily in coeducational environments, and that findings might differ dramatically if research were conducted in more schools where the student body was all-male or all-female.

Your overall goal in this step of the process is to show that your research will be part of a larger conversation: that is, how your project flows from what’s already known, and how it advances, extends or challenges that existing body of knowledge. That will be the contribution of your project, and it constitutes the motivation for your research.

Two things are worth mentioning about your search for sources of relevant previous research. First, you needn’t look only at studies on your precise topic. For example, if you want to study gender-identity formation in schools, you shouldn’t restrict yourself to studies of schools; the empirical setting (schools) is secondary to the larger social process that interests you (how people form gender identity). That process occurs in many different settings, so cast a wide net. Second, be sure to use legitimate sources – meaning publications that have been through some sort of vetting process, whether that involves peer review (as with academic journal articles you might find via Google Scholar) or editorial review (as you’d find in well-known mass media publications, such as The Economist or The Washington Post ). What you’ll want to avoid is using unvetted sources such as personal blogs or Wikipedia. Why? Because anybody can write anything in those forums, and there is no way to know – unless you’re already an expert – if the claims you find there are accurate. Often, they’re not.

Step 4: Choose your data and methods

Whatever your research question is, eventually you’ll need to consider which data source and analytical strategy are most likely to provide the answers you’re seeking. One starting point is to consider whether your question would be best addressed by qualitative data (such as interviews, observations or historical records), quantitative data (such as surveys or census records) or some combination of both. Your ideas about data sources will, in turn, suggest options for analytical methods.

You might need to collect your own data, or you might find everything you need readily available in an existing dataset someone else has created. A great place to start is with a research librarian: university libraries always have them and, at public universities, those librarians can work with the public, including people who aren’t affiliated with the university. If you don’t happen to have a public university and its library close at hand, an ordinary public library can still be a good place to start: the librarians are often well versed in accessing data sources that might be relevant to your study, such as the census, or historical archives, or the Survey of Consumer Finances.

Because your task at this point is to plan research, rather than conduct it, the purpose of this step is not to commit you irrevocably to a course of action. Instead, your goal here is to think through a feasible approach to answering your research question. You’ll need to find out, for example, whether the data you want exist; if not, do you have a realistic chance of gathering the data yourself, or would it be better to modify your research question? In terms of analysis, would your strategy require you to apply statistical methods? If so, do you have those skills? If not, do you have time to learn them, or money to hire a research assistant to run the analysis for you?

Please be aware that qualitative methods in particular are not the casual undertaking they might appear to be. Many people make the mistake of thinking that only quantitative data and methods are scientific and systematic, while qualitative methods are just a fancy way of saying: ‘I talked to some people, read some old newspapers, and drew my own conclusions.’ Nothing could be further from the truth. In the final section of this guide, you’ll find some links to resources that will provide more insight on standards and procedures governing qualitative research, but suffice it to say: there are rules about what constitutes legitimate evidence and valid analytical procedure for qualitative data, just as there are for quantitative data.

Circle back and consider revising your initial plans

As you work through these four steps in planning your project, it’s perfectly normal to circle back and revise. Research planning is rarely a linear process. It’s also common for new and unexpected avenues to suggest themselves. As the sociologist Thorstein Veblen wrote in 1908 : ‘The outcome of any serious research can only be to make two questions grow where only one grew before.’ That’s as true of research planning as it is of a completed project. Try to enjoy the horizons that open up for you in this process, rather than becoming overwhelmed; the four steps, along with the two exercises that follow, will help you focus your plan and make it manageable.

Key points – How to plan a research project

• Planning a research project is essential no matter your academic level or field of study. There is no one ‘best’ way to design research, but there are certain guidelines that can be helpfully applied across disciplines.
• Orient yourself to knowledge-creation. Make the shift from being a consumer of information to being a producer of information.
• Define your research question. Your question frames the rest of your project, sets the scope, and determines the kinds of answers you can find.
• Review previous research on your question. Survey the existing body of relevant knowledge to ensure that your research will be part of a larger conversation.
• Choose your data and methods. For instance, will you be collecting qualitative data, via interviews, or numerical data, via surveys?
• Circle back and consider revising your initial plans. Expect your research question in particular to undergo multiple rounds of refinement as you learn more about your topic.

Good research questions tend to beget more questions. This can be frustrating for those who want to get down to business right away. Try to make room for the unexpected: this is usually how knowledge advances. Many of the most significant discoveries in human history have been made by people who were looking for something else entirely. There are ways to structure your research planning process without over-constraining yourself; the two exercises below are a start, and you can find further methods in the Links and Books section.

The following exercise provides a structured process for advancing your research project planning. After completing it, you’ll be able to do the following:

• describe clearly and concisely the question you’ve chosen to study
• summarise the state of the art in knowledge about the question, and where your project could contribute new insight
• identify the best strategy for gathering and analysing relevant data

In other words, the following provides a systematic means to establish the building blocks of your research project.

Exercise 1: Definition of research question and sources

This exercise prompts you to select and clarify your general interest area, develop a research question, and investigate sources of information. The annotated bibliography will also help you refine your research question so that you can begin the second assignment, a description of the phenomenon you wish to study.

Jot down a few bullet points in response to these two questions, with the understanding that you’ll probably go back and modify your answers as you begin reading other studies relevant to your topic:

• What will be the general topic of your paper?
• What will be the specific topic of your paper?

b) Research question(s)

Use the following guidelines to frame a research question – or questions – that will drive your analysis. As with Part 1 above, you’ll probably find it necessary to change or refine your research question(s) as you complete future assignments.

• Your question should be phrased so that it can’t be answered with a simple ‘yes’ or ‘no’.
• Your question should have more than one plausible answer.
• Your question should draw relationships between two or more concepts; framing the question in terms of How? or What? often works better than asking Why ?

c) Annotated bibliography

Most or all of your background information should come from two sources: scholarly books and journals, or reputable mass media sources. You might be able to access journal articles electronically through your library, using search engines such as JSTOR and Google Scholar. This can save you a great deal of time compared with going to the library in person to search periodicals. General news sources, such as those accessible through LexisNexis, are acceptable, but should be cited sparingly, since they don’t carry the same level of credibility as scholarly sources. As discussed above, unvetted sources such as blogs and Wikipedia should be avoided, because the quality of the information they provide is unreliable and often misleading.

To create an annotated bibliography, provide the following information for at least 10 sources relevant to your specific topic, using the format suggested below.

Name of author(s):

Publication date:

Title of book, chapter, or article:

If a chapter or article, title of journal or book where they appear:

Brief description of this work, including main findings and methods ( c 75 words):

Summary of how this work contributes to your project ( c 75 words):

Brief description of the implications of this work ( c 25 words):

Identify any gap or controversy in knowledge this work points up, and how your project could address those problems ( c 50 words):

Exercise 2: Towards an analysis

Develop a short statement ( c 250 words) about the kind of data that would be useful to address your research question, and how you’d analyse it. Some questions to consider in writing this statement include:

• What are the central concepts or variables in your project? Offer a brief definition of each.
• Do any data sources exist on those concepts or variables, or would you need to collect data?
• Of the analytical strategies you could apply to that data, which would be the most appropriate to answer your question? Which would be the most feasible for you? Consider at least two methods, noting their advantages or disadvantages for your project.

Links & books

One of the best texts ever written about planning and executing research comes from a source that might be unexpected: a 60-year-old work on urban planning by a self-trained scholar. The classic book The Death and Life of Great American Cities (1961) by Jane Jacobs (available complete and free of charge via this link ) is worth reading in its entirety just for the pleasure of it. But the final 20 pages – a concluding chapter titled ‘The Kind of Problem a City Is’ – are really about the process of thinking through and investigating a problem. Highly recommended as a window into the craft of research.

Jacobs’s text references an essay on advancing human knowledge by the mathematician Warren Weaver. At the time, Weaver was director of the Rockefeller Foundation, in charge of funding basic research in the natural and medical sciences. Although the essay is titled ‘A Quarter Century in the Natural Sciences’ (1960) and appears at first blush to be merely a summation of one man’s career, it turns out to be something much bigger and more interesting: a meditation on the history of human beings seeking answers to big questions about the world. Weaver goes back to the 17th century to trace the origins of systematic research thinking, with enthusiasm and vivid anecdotes that make the process come alive. The essay is worth reading in its entirety, and is available free of charge via this link .

For those seeking a more in-depth, professional-level discussion of the logic of research design, the political scientist Harvey Starr provides insight in a compact format in the article ‘Cumulation from Proper Specification: Theory, Logic, Research Design, and “Nice” Laws’ (2005). Starr reviews the ‘research triad’, consisting of the interlinked considerations of formulating a question, selecting relevant theories and applying appropriate methods. The full text of the article, published in the scholarly journal Conflict Management and Peace Science , is available, free of charge, via this link .

Finally, the book Getting What You Came For (1992) by Robert Peters is not only an outstanding guide for anyone contemplating graduate school – from the application process onward – but it also includes several excellent chapters on planning and executing research, applicable across a wide variety of subject areas. It was an invaluable resource for me 25 years ago, and it remains in print with good reason; I recommend it to all my students, particularly Chapter 16 (‘The Thesis Topic: Finding It’), Chapter 17 (‘The Thesis Proposal’) and Chapter 18 (‘The Thesis: Writing It’).

How to use ‘possibility thinking’

Have you hit an impasse in your personal or professional life? Answer these questions to open your mind to what’s possible

by Constance de Saint Laurent & Vlad Glăveanu

The nature of reality

How to think about time

This philosopher’s introduction to the nature of time could radically alter how you see your past and imagine your future

by Graeme A Forbes

Cognitive and behavioural therapies

How to stop living on auto-pilot

Are you going through the motions? Use these therapy techniques to set meaningful goals and build a ‘life worth living’

by Kiki Fehling

FLEET LIBRARY | Research Guides

Rhode island school of design, create a research plan: research plan.

• Research Plan
• Literature Review
• Ulrich's Global Serials Directory
• Related Guides

A research plan is a framework that shows how you intend to approach your topic. The plan can take many forms: a written outline, a narrative, a visual/concept map or timeline. It's a document that will change and develop as you conduct your research. Components of a research plan

1. Research conceptualization - introduces your research question

2. Research methodology - describes your approach to the research question

3. Literature review, critical evaluation and synthesis - systematic approach to locating,

    reviewing and evaluating the work (text, exhibitions, critiques, etc) relating to your topic

4. Communication - geared toward an intended audience, shows evidence of your inquiry

Research conceptualization refers to the ability to identify specific research questions, problems or opportunities that are worthy of inquiry. Research conceptualization also includes the skills and discipline that go beyond the initial moment of conception, and which enable the researcher to formulate and develop an idea into something researchable ( Newbury 373).

Research methodology refers to the knowledge and skills required to select and apply appropriate methods to carry through the research project ( Newbury 374) .

Method describes a single mode of proceeding; methodology describes the overall process.

Method - a way of doing anything especially according to a defined and regular plan; a mode of procedure in any activity

Methodology - the study of the direction and implications of empirical research, or the sustainability of techniques employed in it; a method or body of methods used in a particular field of study or activity *Browse a list of research methodology books  or this guide on Art & Design Research

Literature Review, critical evaluation & synthesis

A literature review is a systematic approach to locating, reviewing, and evaluating the published work and work in progress of scholars, researchers, and practitioners on a given topic.

Critical evaluation and synthesis is the ability to handle (or process) existing sources. It includes knowledge of the sources of literature and contextual research field within which the person is working ( Newbury 373).

Literature reviews are done for many reasons and situations. Here's a short list:

Sources to consult while conducting a literature review:

Online catalogs of local, regional, national, and special libraries

meta-catalogs such as worldcat , Art Discovery Group , europeana , world digital library or RIBA

subject-specific online article databases (such as the Avery Index, JSTOR, Project Muse)

digital institutional repositories such as Digital Commons @RISD ; see Registry of Open Access Repositories

Open Access Resources recommended by RISD Research LIbrarians

works cited in scholarly books and articles

print bibliographies

the internet-locate major nonprofit, research institutes, museum, university, and government websites

search google scholar to locate grey literature & referenced citations

trade and scholarly publishers

fellow scholars and peers

Communication                              

Communication refers to the ability to

• structure a coherent line of inquiry
• communicate your findings to your intended audience
• make skilled use of visual material to express ideas for presentations, writing, and the creation of exhibitions ( Newbury 374)

Research plan framework: Newbury, Darren. "Research Training in the Creative Arts and Design." The Routledge Companion to Research in the Arts . Ed. Michael Biggs and Henrik Karlsson. New York: Routledge, 2010. 368-87. Print.

About the author

Except where otherwise noted, this guide is subject to a Creative Commons Attribution license

source document

  Routledge Companion to Research in the Arts

• Next: Literature Review >>
• Last Updated: Sep 20, 2023 5:05 PM
• URL: https://risd.libguides.com/researchplan

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, automatically generate references for free.

• Knowledge Base
• Methodology

Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question  using empirical data. Creating a research design means making decisions about:

• Your overall aims and approach
• The type of research design you’ll use
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

Prevent plagiarism, run a free check.

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

McCombes, S. (2023, March 20). Research Design | Step-by-Step Guide with Examples. Scribbr. Retrieved 9 April 2024, from https://www.scribbr.co.uk/research-methods/research-design/

Is this article helpful?

Shona McCombes

How to Write a Research Plan

Your answers to these questions form your research strategy. Most likely, you’ve addressed some of these issues in your proposal. But you are further along now, and you can flesh out your answers. With your instructor’s help, you should make some basic decisions about what information to collect and what methods to use in analyzing it. You will probably develop this research strategy gradually and, if you are like the rest of us, you will make some changes, large and small, along the way. Still, it is useful to devise a general plan early, even though you will modify it as you progress. Develop a tentative research plan early in the project. Write it down and share it with your instructor. The more concrete and detailed the plan, the better the feedback you’ll get.

Academic Writing, Editing, Proofreading, And Problem Solving Services

Get 10% off with 24start discount code.

This research plan does not need to be elaborate or time-consuming. Like your working bibliography, it is provisional, a work in progress. Still, it is helpful to write it down since it will clarify a number of issues for you and your professor.

Writing a Research Plan

To write out your research plan, begin by restating your main thesis question and any secondary ones. They may have changed a bit since your original proposal. If these questions bear on a particular theory or analytic perspective, state that briefly. In the social sciences, for example, two or three prominent theories might offer different predictions about your subject. If so, then you might want to explore these differences in your thesis and explain why some theories work better (or worse) in this particular case. Likewise, in the humanities, you might consider how different theories offer different insights and contrasting perspectives on the particular novel or film you are studying. If you intend to explore these differences, state your goal clearly in the research plan so you can discuss it later with your professor. Next, turn to the heart of this exercise, your proposed research strategy. Try to explain your basic approach, the materials you will use, and your method of analysis. You may not know all of these elements yet, but do the best you can. Briefly say how and why you think they will help answer your main questions.

Be concrete. What data will you collect? Which poems will you read? Which paintings will you compare? Which historical cases will you examine? If you plan to use case studies, say whether you have already selected them or settled on the criteria for choosing them. Have you decided which documents and secondary sources are most important? Do you have easy access to the data, documents, or other materials you need? Are they reliable sources—the best information you can get on the subject? Give the answers if you have them, or say plainly that you don’t know so your instructor can help. You should also discuss whether your research requires any special skills and, of course, whether you have them. You can—and should—tailor your work to fit your skills.

If you expect to challenge other approaches—an important element of some theses—which ones will you take on, and why? This last point can be put another way: Your project will be informed by some theoretical traditions and research perspectives and not others. Your research will be stronger if you clarify your own perspective and show how it usefully informs your work. Later, you may also enter the jousts and explain why your approach is superior to the alternatives, in this particular study and perhaps more generally. Your research plan should state these issues clearly so you can discuss them candidly and think them through.

If you plan to conduct tests, experiments, or surveys, discuss them, too. They are common research tools in many fields, from psychology and education to public health. Now is the time to spell out the details—the ones you have nailed down tight and the ones that are still rattling around, unresolved. It’s important to bring up the right questions here, even if you don’t have all the answers yet. Raising these questions directly is the best way to get the answers. What kinds of tests or experiments do you plan, and how will you measure the results? How will you recruit your test subjects, and how many will be included in your sample? What test instruments or observational techniques will you use? How reliable and valid are they? Your instructor can be a great source of feedback here.

Your research plan should say:

• What materials you will use
• What methods you will use to investigate them
• Whether your work follow a particular approach or theory

There are also ethical issues to consider. They crop up in any research involving humans or animals. You need to think carefully about them, underscore potential problems, and discuss them with your professor. You also need to clear this research in advance with the appropriate authorities at your school, such as the committee that reviews proposals for research on human subjects.

Not all these issues and questions will bear on your particular project. But some do, and you should wrestle with them as you begin research. Even if your answers are tentative, you will still gain from writing them down and sharing them with your instructor. That’s how you will get the most comprehensive advice, the most pointed recommendations. If some of these issues puzzle you, or if you have already encountered some obstacles, share them, too, so you can either resolve the problems or find ways to work around them.

Remember, your research plan is simply a working product, designed to guide your ongoing inquiry. It’s not a final paper for a grade; it’s a step toward your final paper. Your goal in sketching it out now is to understand these issues better and get feedback from faculty early in the project. It may be a pain to write it out, but it’s a minor sting compared to major surgery later.

Checklist for Conducting Research

• Familiarize yourself with major questions and debates about your topic.
• Is appropriate to your topic;
• Addresses the main questions you propose in your thesis;
• Relies on materials to which you have access;
• Can be accomplished within the time available;
• Uses skills you have or can acquire.
• Divide your topic into smaller projects and do research on each in turn.
• Write informally as you do research; do not postpone this prewriting until all your research is complete.

Back to How To Write A Research Paper .

ORDER HIGH QUALITY CUSTOM PAPER

Introduction to Academic Research

• What is Academic Research?

Planning your Research

• Search Strategies
• Choosing Sources
• Choosing Databases
• Scholarly Sources
• Evaluating Websites
• Citing your Sources

In many ways, the planning phase of the research process is the most important. The ground work you do here will set the stage for the rest of the project. Take your time as you think through your topic and how researchers and other authors might talk about and explore your subject area.

Let your curiosity lead you.

Step 1 : brainstorm your topic.

Ask yourself:

• What class discussions have I found most interesting?   
• What are the major issues, problems, or trends in this industry today?  
• Have I had related personal experiences that were significant or meaningful?  
• What topics would advance my career goals after I complete my program?

Start a concept map to help you think about potential topics and subtopics related to your course. Keep track of your ideas in a notebook.

Example: Addiction to smoking

STEP 2 : Write a Research Question

What do you want to know about your topic? Open-ended questions help you focus your research. Try questions like:

• How does __ impact __ ?
• What attitudes do __ have towards __?
• What strategies can help reduce/improve __ among __ ?

Consider narrowing your question by one of these criteria:

• Population (age, gender, culture, other?)
• Geography (Ontario, Canada, other?)
• Time frame (this year, last 5 years?)

Watch What makes a good research topic? (3:28).

Example: What are the risk factors for addiction to smoking among teenagers?

STEP 3 : Identify Keywords

Your search will be based on the keywords you choose. Keywords describe the main concepts you are looking for. The keywords from our example are:

• risk factors

Consider alternative or related keywords that authors writing about your topic might use:

Use a combination of these keywords to search your topic.

Example: (smoking OR vaping) AND (adolescent OR youth OR teen) AND "risk factors"

Here's a few tips to keep in mind. Watch video .

Use these tools to get you started on defining your topic and choosing your keywords.

• Planning your Research Worksheet

Chat with Us if you have any questions about planning your research.

• Last Updated: May 1, 2023 9:28 AM
• URL: https://sheridancollege.libguides.com/academic-research

Connect with us

• Resources Home 🏠
• Try SciSpace Copilot
• Search research papers
• Add Copilot Extension
• Try AI Detector
• Try Paraphraser
• Try Citation Generator
• April Papers
• June Papers
• July Papers

Here's What You Need to Understand About Research Methodology

Table of Contents

Research methodology involves a systematic and well-structured approach to conducting scholarly or scientific inquiries. Knowing the significance of research methodology and its different components is crucial as it serves as the basis for any study.

Typically, your research topic will start as a broad idea you want to investigate more thoroughly. Once you’ve identified a research problem and created research questions , you must choose the appropriate methodology and frameworks to address those questions effectively.

What is the definition of a research methodology?

Research methodology is the process or the way you intend to execute your study. The methodology section of a research paper outlines how you plan to conduct your study. It covers various steps such as collecting data, statistical analysis, observing participants, and other procedures involved in the research process

The methods section should give a description of the process that will convert your idea into a study. Additionally, the outcomes of your process must provide valid and reliable results resonant with the aims and objectives of your research. This thumb rule holds complete validity, no matter whether your paper has inclinations for qualitative or quantitative usage.

Studying research methods used in related studies can provide helpful insights and direction for your own research. Now easily discover papers related to your topic on SciSpace and utilize our AI research assistant, Copilot , to quickly review the methodologies applied in different papers.

The need for a good research methodology

While deciding on your approach towards your research, the reason or factors you weighed in choosing a particular problem and formulating a research topic need to be validated and explained. A research methodology helps you do exactly that. Moreover, a good research methodology lets you build your argument to validate your research work performed through various data collection methods, analytical methods, and other essential points.

Just imagine it as a strategy documented to provide an overview of what you intend to do.

While undertaking any research writing or performing the research itself, you may get drifted in not something of much importance. In such a case, a research methodology helps you to get back to your outlined work methodology.

A research methodology helps in keeping you accountable for your work. Additionally, it can help you evaluate whether your work is in sync with your original aims and objectives or not. Besides, a good research methodology enables you to navigate your research process smoothly and swiftly while providing effective planning to achieve your desired results.

What is the basic structure of a research methodology?

Usually, you must ensure to include the following stated aspects while deciding over the basic structure of your research methodology:

1. Your research procedure

Explain what research methods you’re going to use. Whether you intend to proceed with quantitative or qualitative, or a composite of both approaches, you need to state that explicitly. The option among the three depends on your research’s aim, objectives, and scope.

2. Provide the rationality behind your chosen approach

Based on logic and reason, let your readers know why you have chosen said research methodologies. Additionally, you have to build strong arguments supporting why your chosen research method is the best way to achieve the desired outcome.

3. Explain your mechanism

The mechanism encompasses the research methods or instruments you will use to develop your research methodology. It usually refers to your data collection methods. You can use interviews, surveys, physical questionnaires, etc., of the many available mechanisms as research methodology instruments. The data collection method is determined by the type of research and whether the data is quantitative data(includes numerical data) or qualitative data (perception, morale, etc.) Moreover, you need to put logical reasoning behind choosing a particular instrument.

4. Significance of outcomes

The results will be available once you have finished experimenting. However, you should also explain how you plan to use the data to interpret the findings. This section also aids in understanding the problem from within, breaking it down into pieces, and viewing the research problem from various perspectives.

5. Reader’s advice

Anything that you feel must be explained to spread more awareness among readers and focus groups must be included and described in detail. You should not just specify your research methodology on the assumption that a reader is aware of the topic.  

All the relevant information that explains and simplifies your research paper must be included in the methodology section. If you are conducting your research in a non-traditional manner, give a logical justification and list its benefits.

6. Explain your sample space

Include information about the sample and sample space in the methodology section. The term "sample" refers to a smaller set of data that a researcher selects or chooses from a larger group of people or focus groups using a predetermined selection method. Let your readers know how you are going to distinguish between relevant and non-relevant samples. How you figured out those exact numbers to back your research methodology, i.e. the sample spacing of instruments, must be discussed thoroughly.

For example, if you are going to conduct a survey or interview, then by what procedure will you select the interviewees (or sample size in case of surveys), and how exactly will the interview or survey be conducted.

7. Challenges and limitations

This part, which is frequently assumed to be unnecessary, is actually very important. The challenges and limitations that your chosen strategy inherently possesses must be specified while you are conducting different types of research.

The importance of a good research methodology

You must have observed that all research papers, dissertations, or theses carry a chapter entirely dedicated to research methodology. This section helps maintain your credibility as a better interpreter of results rather than a manipulator.

A good research methodology always explains the procedure, data collection methods and techniques, aim, and scope of the research. In a research study, it leads to a well-organized, rationality-based approach, while the paper lacking it is often observed as messy or disorganized.

You should pay special attention to validating your chosen way towards the research methodology. This becomes extremely important in case you select an unconventional or a distinct method of execution.

Curating and developing a strong, effective research methodology can assist you in addressing a variety of situations, such as:

• When someone tries to duplicate or expand upon your research after few years.
• If a contradiction or conflict of facts occurs at a later time. This gives you the security you need to deal with these contradictions while still being able to defend your approach.
• Gaining a tactical approach in getting your research completed in time. Just ensure you are using the right approach while drafting your research methodology, and it can help you achieve your desired outcomes. Additionally, it provides a better explanation and understanding of the research question itself.
• Documenting the results so that the final outcome of the research stays as you intended it to be while starting.

Instruments you could use while writing a good research methodology

As a researcher, you must choose which tools or data collection methods that fit best in terms of the relevance of your research. This decision has to be wise.

There exists many research equipments or tools that you can use to carry out your research process. These are classified as:

a. Interviews (One-on-One or a Group)

An interview aimed to get your desired research outcomes can be undertaken in many different ways. For example, you can design your interview as structured, semi-structured, or unstructured. What sets them apart is the degree of formality in the questions. On the other hand, in a group interview, your aim should be to collect more opinions and group perceptions from the focus groups on a certain topic rather than looking out for some formal answers.

In surveys, you are in better control if you specifically draft the questions you seek the response for. For example, you may choose to include free-style questions that can be answered descriptively, or you may provide a multiple-choice type response for questions. Besides, you can also opt to choose both ways, deciding what suits your research process and purpose better.

c. Sample Groups

Similar to the group interviews, here, you can select a group of individuals and assign them a topic to discuss or freely express their opinions over that. You can simultaneously note down the answers and later draft them appropriately, deciding on the relevance of every response.

d. Observations

If your research domain is humanities or sociology, observations are the best-proven method to draw your research methodology. Of course, you can always include studying the spontaneous response of the participants towards a situation or conducting the same but in a more structured manner. A structured observation means putting the participants in a situation at a previously decided time and then studying their responses.

Of all the tools described above, it is you who should wisely choose the instruments and decide what’s the best fit for your research. You must not restrict yourself from multiple methods or a combination of a few instruments if appropriate in drafting a good research methodology.

Types of research methodology

A research methodology exists in various forms. Depending upon their approach, whether centered around words, numbers, or both, methodologies are distinguished as qualitative, quantitative, or an amalgamation of both.

1. Qualitative research methodology

When a research methodology primarily focuses on words and textual data, then it is generally referred to as qualitative research methodology. This type is usually preferred among researchers when the aim and scope of the research are mainly theoretical and explanatory.

The instruments used are observations, interviews, and sample groups. You can use this methodology if you are trying to study human behavior or response in some situations. Generally, qualitative research methodology is widely used in sociology, psychology, and other related domains.

2. Quantitative research methodology

If your research is majorly centered on data, figures, and stats, then analyzing these numerical data is often referred to as quantitative research methodology. You can use quantitative research methodology if your research requires you to validate or justify the obtained results.

In quantitative methods, surveys, tests, experiments, and evaluations of current databases can be advantageously used as instruments If your research involves testing some hypothesis, then use this methodology.

3. Amalgam methodology

As the name suggests, the amalgam methodology uses both quantitative and qualitative approaches. This methodology is used when a part of the research requires you to verify the facts and figures, whereas the other part demands you to discover the theoretical and explanatory nature of the research question.

The instruments for the amalgam methodology require you to conduct interviews and surveys, including tests and experiments. The outcome of this methodology can be insightful and valuable as it provides precise test results in line with theoretical explanations and reasoning.

The amalgam method, makes your work both factual and rational at the same time.

Final words: How to decide which is the best research methodology?

If you have kept your sincerity and awareness intact with the aims and scope of research well enough, you must have got an idea of which research methodology suits your work best.

Before deciding which research methodology answers your research question, you must invest significant time in reading and doing your homework for that. Taking references that yield relevant results should be your first approach to establishing a research methodology.

Moreover, you should never refrain from exploring other options. Before setting your work in stone, you must try all the available options as it explains why the choice of research methodology that you finally make is more appropriate than the other available options.

You should always go for a quantitative research methodology if your research requires gathering large amounts of data, figures, and statistics. This research methodology will provide you with results if your research paper involves the validation of some hypothesis.

Whereas, if  you are looking for more explanations, reasons, opinions, and public perceptions around a theory, you must use qualitative research methodology.The choice of an appropriate research methodology ultimately depends on what you want to achieve through your research.

Frequently Asked Questions (FAQs) about Research Methodology

1. how to write a research methodology.

You can always provide a separate section for research methodology where you should specify details about the methods and instruments used during the research, discussions on result analysis, including insights into the background information, and conveying the research limitations.

2. What are the types of research methodology?

There generally exists four types of research methodology i.e.

• Observation
• Experimental
• Derivational

3. What is the true meaning of research methodology?

The set of techniques or procedures followed to discover and analyze the information gathered to validate or justify a research outcome is generally called Research Methodology.

4. Where lies the importance of research methodology?

Your research methodology directly reflects the validity of your research outcomes and how well-informed your research work is. Moreover, it can help future researchers cite or refer to your research if they plan to use a similar research methodology.

You might also like

Consensus GPT vs. SciSpace GPT: Choose the Best GPT for Research

Literature Review and Theoretical Framework: Understanding the Differences

Using AI for research: A beginner’s guide

Planning Your Research

• First Online: 03 January 2022

Cite this chapter

• Rob Davidson 5  

370 Accesses

Planning your research is a vital aspect that needs to be done prior to commencement of the research project. Albert Einstein (1879–1955) once stated that if he had an hour to solve a problem he would spend 55 mins thinking about the problem and 5 mins thinking about solutions. This statement underpins the importance of planning, including for research.

• Research question
• Research planning
• Research frameworks
• Research proposal

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info
• Durable hardcover edition

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Bibliography

Adams, P., Wongwit, W., Pengsaa, K., Khusmith, S., Fungladda, W., Chaiyaphan, W., Limphattharacharoen, C., Prakobtham, S., & Kaewkungwal, J. (2013). Ethical issues in research involving minority populations: The process and outcomes of protocol review by the Ethics Committee of the Faculty of Tropical Medicine, Mahidol University, Thailand. BMC Medical Ethics, 14 , 33–33.

Article   PubMed   PubMed Central   Google Scholar  

Arah, O. A., Klazinga, N. S., Delnoij, D. M. J., Asbroek, A. H. A. T., & Custers, T. (2003). Conceptual frameworks for health systems performance: A quest for effectiveness, quality, and improvement. International Journal for Quality in Health Care, 15 (5), 377–398.

Article   CAS   PubMed   Google Scholar  

Aslam, S., & Emmanuel, P. (2010). Formulating a researchable question: A critical step for facilitating good clinical research. Indian Journal of Sexually Transmitted Diseases and AIDS, 31 (1), 47–50.

Association, W. M. (2019). Declaration of Helsinki – Ethical principles for medical research involving human subjects . World Medical Association.

Google Scholar  

Barrow, J. M., Brannan, G. D., & Khandhar, P. B. (2020). Research ethics. In StatPearls [Internet] . StatPearls Publishing.

Beauchamp, T. (2019). In E. N. Zalta (Ed.), The principle of beneficence in applied ethics. The Stanford encyclopedia of philosophy . Stanford University, Metaphysics Research Lab.

Cambridge University Press. (2018). Cambridge dictionary . Cambridge University Press.

Crawford, L. M. (2019). Conceptual and theoretical frameworks in research. In G. J. Burkholder, K. A. Cox, L. M. Crawford, & J. H. Hitchcock (Eds.), Research design and methods: An applied guide for the scholar-practitioner . Sage Publishing.

De, D., & Singh, S. (2019). Basic understanding of study types and formulating research question for a clinical trial. Indian Dermatology Online Journal, 10 (3), 351–353.

Department of Health RSA. (2015). Ethics in health research: Principles, processes and structures . R. o. S. A. Department of Health. Department of Health, Republic of South Africa.

Echevarria, I. M., & Walker, S. (2014). To make your case, start with a PICOT question. Nursing2020, 44 (2), 18–19.

Article   Google Scholar  

Emanuel, E. J., Wendler, D., & Grady, C. (2000). What makes clinical research ethical? JAMA, 283 (20), 2701–2711.

Fandino, W. (2019). Formulating a good research question: Pearls and pitfalls. Indian Journal of Anaesthesia, 63 (8), 611–616.

Farrugia, P., Petrisor, B. A., Farrokhyar, F., & Bhandari, M. (2010). Practical tips for surgical research: Research questions, hypotheses and objectives. Canadian Journal of Surgery/Journal canadien de chirurgie, 53 (4), 278–281.

Grant, E. (2006). Science and Religion, 400 B.C. to A.D. 1550: From Aristotle to Copernicus, Johns Hopkins University Press, Baltimore, MD. ISBN 9780801884016.

Haldar, S. K. (2013). Chapter 9 - statistical and geostatistical applications in geology. In S. K. Haldar (Ed.), Mineral exploration (pp. 157–182). Elsevier.

Chapter   Google Scholar  

Hayes, A. (2020). Null hypothesis. From https://www.investopedia.com/terms/n/null_hypothesis.asp

Helmenstine, A. M. (2020). Null hypothesis definition and examples. Retrieved 20 Nov 2020, from thoughtco.com/definition-of-null-hypothesis-and-examples-605436

Hulley, S. B., Cummings, S. R., Browner, W. S., Grady, D. G., & Newman, T. B. (2013). Designing clinical research . Wolters Kluwer.

Jahn, W. T. (2011). The 4 basic ethical principles that apply to forensic activities are respect for autonomy, beneficence, nonmaleficence, and justice. Journal of Chiropractic Medicine, 10 (3), 225–226.

Jhangiani, R. S. (ed) (2015). Some basic null hypothesis tests. In P. Price, R. Jhangiani & I. Chiang, Research methods of psychology - 2nd Canadian Edition. Victoria, B.C.: BCcampus. Retrieved from https://opentextbc.ca/researchmethods/ .

Kabir, S. (2016). Formulating and testing hypothesis. In S. Kabir (Ed.), Basic guidelines for research . Book Zone.

Kean, S. (2011). The disappearing spoon: And other true tales of madness, love, and the history of the world from the periodic table of the elements . Little, Brown and Company.

Kivunja, C. (2018). Distinguishing between theory, theoretical framework, and conceptual framework: A systematic review of lessons from the field. International Journal of Higher Education, 7 , 44–53.

Lim, J. M.-H. (2014). Formulating research questions in experimental doctoral dissertations on Applied Linguistics. English for Specific Purposes, 35 , 66–88.

Loefler, I. (2002). Why the Hippocratic ideals are dead. BMJ, 324 (7351), 1463.

Article   PubMed Central   Google Scholar  

Mantzoukas, S. (2008). Facilitating research students in formulating qualitative research questions. Nurse Education Today, 28 (3), 371–377.

Article   PubMed   Google Scholar  

Mayo, N. E., Asano, M., & Barbic, S. P. (2013). When is a research question not a research question? Journal of Rehabilitation Medicine, 45 (6), 513–518.

Medical Research Council. (2012). Good research practice: Principles and guidelines . Medical Research Council.

Miner, J., & Ball, K. (2016). Models of proposal planning & writing . Greenwood Publishing Group.

National Health and Medical Research Council. (2018). National statement on ethical conduct in human research 2007 (Updated 2018). Canberra.

National Institutes of Health. (2016). Guiding principles for ethical research. NIH clinical research trials and you. Retrieved 20 Nov 2020, from https://www.nih.gov/health-information/nih-clinical-research-trials-you/guiding-principles-ethical-research

Pieper, I., & Thomson, C. J. H. (2016). Beneficence as a principle in human research. Monash Bioethics Review, 34 (2), 117–135.

Ratan, S. K., Anand, T., & Ratan, J. (2019). Formulation of research question - stepwise approach. Journal of Indian Association of Pediatric Surgeons, 24 (1), 15–20.

Riva, J. J., Malik, K. M. P., Burnie, S. J., Endicott, A. R., & Busse, J. W. (2012). What is your research question? An introduction to the PICOT format for clinicians. The Journal of the Canadian Chiropractic Association, 56 (3), 167–171.

PubMed   PubMed Central   Google Scholar  

Rogers, W., & Lange, M. M. (2013). Rethinking the vulnerability of minority populations in research. American Journal of Public Health, 103 (12), 2141–2146.

Rojon, C., & Saunders, M. N. K. (2012). Formulating a convincing rationale for a research study. Coaching: An International Journal of Theory, Research and Practice, 5 (1), 55–61.

Ryvicker, M. (2018). A conceptual framework for examining healthcare access and navigation: A behavioral-ecological perspective. Social Theory & Health: STH, 16 (3), 224–240.

Sfetcu, N. (2018). The distinction between falsification and refutation in the demarcation problem of Karl Popper . MultiMedia Publishing.

Sims, J. M. (2010). A brief review of the Belmont report. Dimensions of Critical Care Nursing, 29 (4), 173–174.

Van de Schoot, R., Hoijtink, H., & Jan-Willem, R. (2011). Moving beyond traditional null hypothesis testing: Evaluating expectations directly. Frontiers in Psychology, 2 , 24–24.

Wilkinson, M. (2013). Testing the null hypothesis: The forgotten legacy of Karl Popper? Journal of Sports Sciences, 31 (9), 919–920.

Some current, as of January 2021, links to organizations web sites on ethics and ethics resources.

World Health Organization. https://www.who.int/health-topics/ethics

USA. Department of Health and Human Services, National Institutes of Health. https://clinicalcenter.nih.gov/recruit/ethics.html

UK. National Health Services. https://www.hra.nhs.uk/about-us/committees-and-services/res-and-recs/

Canada. https://www.canada.ca/en/health-canada/services/science-research/science-advice-decision-making/research-ethics-board.html

Australia. https://www.nhmrc.gov.au/research-policy/ethics/human-research-ethics-committees

South Africa. http://www.hsrc.ac.za/en/about/research-ethics/code-of-research-ethics

New Zealand. http://www.hrc.govt.nz/ethguid4.htm

Download references

Author information

Authors and affiliations.

School of Health Science, Faculty of Health, University of Canberra, Canberra, ACT, Australia

Rob Davidson

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Rob Davidson .

Editor information

Editors and affiliations.

Medical Imaging, Faculty of Health, University of Canberra, Burnaby, BC, Canada

Euclid Seeram

Faculty of Health, University of Canberra, Canberra, ACT, Australia

Robert Davidson

Brookfield Health Sciences, University College Cork, Cork, Ireland

Andrew England

Mark F. McEntee

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Davidson, R. (2021). Planning Your Research. In: Seeram, E., Davidson, R., England, A., McEntee, M.F. (eds) Research for Medical Imaging and Radiation Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-79956-4_3

Download citation

DOI : https://doi.org/10.1007/978-3-030-79956-4_3

Published : 03 January 2022

Publisher Name : Springer, Cham

Print ISBN : 978-3-030-79955-7

Online ISBN : 978-3-030-79956-4

eBook Packages : Biomedical and Life Sciences Biomedical and Life Sciences (R0)

Share this chapter

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

How to Plan and Conduct a Research Project: 12 Simple Steps

Let’s have a brief and clear discussion on what we should do for achieving success in our research project.

Well! For planning and conduction we have to go through following steps.

1. Topic selection

Many of us have a clear research topic of mind but some are also there who come up with various ideas. When we are in pressure, we often get panicked and anxious, therefore we should select topic well before time by following ways.

2. Discussing with others: We should discuss with others (e.g., friends, lab mates, seniors, teachers and colleagues) about what they are mostly considering, what is sparking interest in us and whatever question arises we should freely discuss with others as their suggestions and comments will help us in refining our focus.

3. Having a look on other writings or previous people research topics:  Books and journals are major sources of ideas. We can spend some time in library and get some idea on title of other research paper of recent years, or we can go through previous people research projects. Similar studies have also been published in journals. Those articles we have to collect and plan how to make a difference.

Now-a-days many things are available online from internet. Websites like  Google ,  PubMed ,  Scopus ,  Science Direct  and others are some of the best learning sources and provides latest information of research. We can search many related topics and finalize a plan.

4. Considering our own interest:  Final and the vital point is considering our own interest like is giving us more interest. We can focus on that to find out whether that is covered in the syllabus. We should remain extra critical while choosing a topic so that we can find out which thing needs some extra studies. While choosing a topic certain points we should keep in mind like a research study can duplicate of already existing study in a completely different manner, extension of existing study, exploring the unexplored part, reviewing the knowledge in s particular field, application of theoretical idea to a real world problem.

5. Developing a research question

Once topic selection is done and it is accepted by department, we should start focusing on refining the topic and finding something like

• Issue for investigating
• What we want to prove, disapprove or discover
• Research limitations

6. Effectual planning of the research

Well!  Research proposal  is the detailed explanation of the whole project that we are going to conduct. It is like a formal need. It should include your thinking about the research problem, all discussions with your guide and all initial findings on the topic.

This step will include strategies to manage the time and how effectively we carry out all tasks. A plan should be made in such a way that it should allocate required time for each and every task. For this we have to see how much total time we have and accordingly we will divide time for each task. It is vital to remain as much realistic as we can about the timing each task will take. The more focused we will remain at the planning stage the more hours we can save while carrying out task. Better to note down about all the resources we need in each stage like how much time we should spend in  library , working hours, equipment lists, space required etc.

It is one of the common problems while conducting research and we should remain well prepared for it. For  several reasons people procrastinate  like for improper management of time, dauted by scale of the work, motivation loss, perfectionism, negative thoughts and many more. When we recognize these problems early, it will help us in minimizing it to larger extent. To avoid we should be realistic about when we should start, devote more time for planning and revising the research plan, allocation of proper time, highly focused etc.

Early identification of the signs of procrastination will give you the best chance of minimizing any negative effects. Once you suspect that you are procrastinating, it can be helpful to review what you are expecting of yourself, and check that those expectations are realistic. This is where planning is vital. After a research plan is made it is a better idea to show it to some other people of our team or our teachers/guides, who can help us in finding out some missing tasks, or some mistakes.

Conducting Research

After the planning stage is over now comes the time to conduct the research. Here also we should remain highly organized and methodical to achieve success. Let’s have a discussion on each step.

6 thoughts on “How to Plan and Conduct a Research Project: 12 Simple Steps”

We are a group of volunteers and starting a new scheme in our community. Your website offered us with valuable info to work on. You have done an impressive job and our whole community will be thankful to you.|

Very impressive

I find the explanation given very informative.

informative

excellent work

your planning is very helpful for me. please this written planning doc file send me.

Leave a Comment Cancel reply

Save my name, email, and website in this browser for the next time I comment.

Integrations

What's new?

Prototype Testing

Live Website Testing

Feedback Surveys

Interview Studies

Card Sorting

Tree Testing

In-Product Prompts

Participant Management

Automated Reports

Templates Gallery

Choose from our library of pre-built mazes to copy, customize, and share with your own users

Browse all templates

Financial Services

Tech & Software

Product Designers

Product Managers

User Researchers

By use case

Concept & Idea Validation

Wireframe & Usability Test

Content & Copy Testing

Feedback & Satisfaction

Content Hub

Educational resources for product, research and design teams

Explore all resources

Question Bank

Research Maturity Model

Guides & Reports

Help Center

Future of User Research Report

The Optimal Path Podcast

Maze Guides | Resources Hub

What is UX Research: The Ultimate Guide for UX Researchers

0% complete

How to create a UX research plan (examples, tactics, and templates)

Conducting UX research without a plan is like moving to another country without knowing the language—confusing and exhausting.

To avoid wasting time and resources, it’s crucial to set achievable research goals and work on developing a research plan that’s clear, comprehensive, and aligned with your overarching business goals and research strategy.

A good UX research plan sets out the parameters for your research, and guides how you’ll gather insights to inform product development. In this chapter, we share a step-by-step guide to creating a research plan, including templates and tactics for you to try. You’ll also find expert tips from Paige Bennett, Senior User Research Manager at Affirm, and Sinéad Davis Cochrane, Research Manager at Workday.

What is a UX research plan?

A UX research plan—not to be confused with a UX research strategy —is a plan to guide individual user experience (UX) research projects.

It's a living document that includes a detailed explanation of tactics, methods, timeline, scope, and task owners. It should be co-created and shared with key stakeholders, so everyone is familiar with the project plan, and product teams can meet strategic goals.

While the UX research plan should be based on strategy, it’s not the same thing. A strategy is a high-level document that contains goals, budget, vision, and expectations. Meanwhile, a plan is a detailed document explaining how the team will achieve those strategic goals. In short, a strategy is a guide, but a plan is what drives action.

What are the benefits of using a UX research plan?

Conducting research without goals and parameters is aimless. A UX research plan is beneficial for your product, user, and business—by building a plan for conducting UX research, you can:

Streamline processes and add structure

Work toward specific, measurable goals, align and engage stakeholders, save time by avoiding rework.

The structure of a research plan allows you to set timelines, expectations, and task owners, so everyone on your team is aligned and empowered to make decisions. Since there’s no second guessing what to do next or which methods to use, you’ll find your process becomes simpler and more efficient. It’s also worth standardizing your process to turn your plan into a template that you can reuse for future projects.

When you set research goals based on strategy, you’ll find it easier to track your team’s progress and keep the project in scope, on time, and on budget. With a solid, strategy-based UX research plan you can also track metrics at different stages of the project and adjust future tactics to get better research findings.

“It’s important to make sure your stakeholders are on the same page with regards to scope, timeline, and goals before you start," explains Paige Bennett, Senior User Research Manager at Affirm. That's because, when stakeholders are aligned, they're much more likely to sign off on product changes that result from UX research.

A written plan is a collaborative way to involve stakeholders in your research and turn them into active participants rather than passive observers. As they get involved, they'll make useful contributions and get a better understanding of your goals.

A UX research plan helps you save time and money quite simply because it’s easier and less expensive to make design or prototype changes than it is to fix usability issues once the product is coded or fully launched. Additionally, having a plan gives your team direction, which means they won’t be conducting research and talking to users without motive, and you’ll be making better use of your resources. What’s more, when everyone is aligned on goals, they’re empowered to make informed decisions instead of waiting for their managers’ approval.

What should a UX research plan include?

In French cuisine, the concept of mise en place—putting in place—allows chefs to plan and set up their workspace with all the required ingredients before cooking. Think of your research plan like this—laying out the key steps you need to go through during research, to help you run a successful and more efficient study.

Here’s what you should include in a UX research plan:

• A brief reminder of the strategy and goals
• An outline of the research objectives
• The purpose of the plan and studies
• A short description of the target audience, sample size, scope, and demographics
• A detailed list of expectations including deliverables, timings, and type of results
• An overview of the test methods and a short explanation of why you chose them
• The test set up or guidelines to outline everything that needs to happen before the study: scenarios, screening questions, and duration of pilot tests
• Your test scripts, questions to ask, or samples to follow
• When and how you’ll present the results
• Cost estimations or requests to go over budget

Collect all UX research findings in one place

Use Maze to run quantitative and qualitative research, influence product design, and shape user-centered products.

How to create a UX research plan

Now we’ve talked through why you need a research plan, let’s get into the how. Here’s a short step-by-step guide on how to write a research plan that will drive results.

• Define the problem statement
• Get stakeholders’ buy-in
• Identify your objectives
• Choose the right research method
• Recruit participants
• Prepare the brief
• Establish the timeline
• Decide how you’ll present your findings

1. Define the problem statement

One of the most important purposes of a research plan is to identify what you’re trying to achieve with the research, and clarify the problem statement. For Paige Bennett , Senior User Research Manager at Affirm, this process begins by sitting together with stakeholders and looking at the problem space.

“We do an exercise called FOG, which stands for ‘Fact, Observation, Guess’, to identify large gaps in knowledge,” says Paige. “Evaluating what you know illuminates questions you still have, which then serves as the foundation of the UX research project.”

You can use different techniques to identify the problem statement, such as stakeholder interviews, team sessions, or analysis of customer feedback. The problem statement should explain what the project is about—helping to define the research scope with clear deliverables and objectives.

2. Identify your objectives

Research objectives need to align with the UX strategy and broader business goals, but you also need to define specific targets to achieve within the research itself—whether that’s understanding a specific problem, or measuring usability metrics . So, before you get into a room with your users and customers, “Think about the research objectives: what you’re doing, why you’re doing it, and what you expect from the UX research process ,” explains Sinéad Davis Cochrane , Research Manager at Workday.

Examples of research objectives might be:

• Learn at what times users interact with your product
• Understand why users return (or not) to your website/app
• Discover what competitor products your users are using
• Uncover any pain points or challenges users find when navigating with your product
• Gauge user interest in and prioritize potential new features

A valuable purpose of setting objectives is ensuring your project doesn't suffer from scope creep. This can happen when stakeholders see your research as an opportunity to ask any question. As a researcher , Sinéad believes your objectives can guide the type of research questions you ask and give your research more focus. Otherwise, anything and everything becomes a research question—which will confuse your findings and be overwhelming to manage.

Sinéad shares a list of questions you should ask yourself and the research team to help set objectives:

• What are you going to do with this information?
• What decisions is it going to inform?
• How are you going to leverage these insights?

Another useful exercise to help identify research objectives is by asking questions that help you get to the core of a problem. Ask these types of questions before starting the planning process:

• Who are the users you’re designing this for?
• What problems and needs do they have?
• What are the pain points of using the product?
• Why are they not using a product like yours?

3. Get stakeholders buy-in

It’s good practice to involve stakeholders at early stages of plan creation to get everyone on board. Sharing your UX research plan with relevant stakeholders means you can gather context, adjust based on comments, and gauge what’s truly important to them. When you present the research plan to key stakeholders, remember to align on the scope of research, and how and when you’ll get back to them with results.

Stakeholders usually have a unique vision of the product, and it’s crucial that you’re able to capture it early on—this doesn’t mean saying yes to everything, but listening to their ideas and having a conversation. Seeing the UX research plan as a living document makes it much easier to edit based on team comments. Plus, the more you listen to other ideas, the easier it will be to evangelize research and get stakeholders to see the value behind it.

I expect my stakeholders to be participants, and I outline how I expect that to happen. That includes observing interviews, participating in synthesis exercises, or co-presenting research recommendations.

Paige Bennett , Senior User Research Manager at Affirm

4. Choose the right research method

Choose between the different UX research methods to capture different insights from users.

To define the research methods you’ll use, circle back to your research objectives, what stage of the product development process you’re in, and the constraints, resources, and timeline of the project. It’s good research practice to use a mix of different methods to get a more complete perspective of users’ struggles.

For example, if you’re at the start of the design process, a generative research method such as user interviews or field studies will help you generate new insights about the target audience. Or, if you need to evaluate how a new design performs with users, you can run usability tests to get actionable feedback.

It’s also good practice to mix methods that drive quantitative and qualitative results so you can understand context, and catch the user sentiment behind a metric. For instance, if during a remote usability test, you hear a user go ‘Ugh! Where’s the sign up button?’ you’ll get a broader perspective than if you were just reviewing the number of clicks on the same test task.

Examples of UX research methods to consider include:

• Five-second testing
• User interviews
• Field studies
• Card sorting
• Tree testing
• Focus groups
• Usability testing
• Diary studies
• Live website testing

Check out our top UX research templates . Use them as a shortcut to get started on your research.

5. Determine how to recruit participants

Every research plan should include information about the participants you need for your study, and how you’ll recruit them. To identify your perfect candidate, revisit your goals and the questions that need answering, then build a target user persona including key demographics and use cases. Consider the resources you have available already, by asking yourself:

• Do you have a user base you can tap into to collect data?
• Do you need to hire external participants?
• What’s your budget to recruit users?
• How many users do you need to interact with?

When selecting participants, make sure they represent all your target personas. If different types of people will be using a certain product, you need to make sure that the people you research represent these personas. This means not just being inclusive in your recruitment, but considering secondary personas—the people who may not be your target user base, but interact with your product incidentally.

You should also consider recruiting research participants to test the product on different devices. Paige explains: “If prior research has shown that behavior differs greatly between those who use a product on their phone versus their tablet, I need to better understand those differences—so I’m going to make sure my participants include people who have used a product on both devices.”

During this step, make sure to include information about the required number of participants, how you’ll get them to participate, and how much time you need per user. The main ways to recruit testers are:

• Using an online participant recruitment tool like Maze’s panel
• Putting out physical or digital adverts in spaces that are relevant to your product and user
• Reaching out to existing users
• Using participants from previous research
• Recruiting directly from your website or app with a tool like In-Product Prompts

5.1. Determine how you’ll pay them

You should always reward your test participants for their time and insights. Not only because it’s the right thing to do, but also because if they have an incentive they’re more likely to give you complete and insightful answers. If you’re hosting the studies in person, you’ll also need to cover your participants' travel expenses and secure a research space. Running remote moderated or unmoderated research is often considered to be less expensive and faster to complete.

If you’re testing an international audience, remember to check your proposed payment system works worldwide—this might be an Amazon gift card or prepaid Visa cards.

6. Prepare the brief

The next component of a research plan is to create a brief or guide for your research sessions. The kind of brief you need will vary depending on your research method, but for moderated methods like user interviews, field studies, or focus groups, you’ll need a detailed guide and script. The brief is there to remind you which questions to ask and keep the sessions on track.

Your script should cover:

• Introduction: A short message you’ll say to participants before the session begins. This works as a starting point for conversations and helps set the tone for the meeting. If you’re testing without a moderator, you should also include an introductory message to explain what the research is about and the type of answers they should give (in terms of length and specificity).
• Interview questions: Include your list of questions you’ll ask participants during the sessions. These could be examples to help guide the interviews, specific pre-planned questions, or test tasks you’ll ask participants to perform during unmoderated sessions.
• Outro message: Outline what you'll say at the end of the session, including the next steps, asking participants if they are open to future research, and thanking them for their time. This can be a form you share at the end of asynchronous sessions.

It’s crucial you remember to ask participants for their consent. You should do this at the beginning of the test by asking if they’re okay with you recording the session. Use this space to lay out any compensation agreements as well. Then, ask again at the end of the session if they agree with you keeping the results and using the data for research purposes. If possible, explain exactly what you’ll do with their data. Double check and get your legal team’s sign-off on these forms.

7. Establish the timeline

Next in your plan, estimate how long the research project will take and when you should expect to review the findings. Even if not exact, determining an approximate timeline (e.g., two-three weeks) will enable you to manage stakeholders’ expectations of the process and results.

Many people believe UX research is a lengthy process, so they skip it. When you set up a timeline and get stakeholders aligned with it, you can debunk assumptions and put stakeholders’ minds at ease. Plus, if you’re using a product discovery tool like Maze, you can get answers to your tests within days.

8. Decide how you’ll present your findings

When it comes to sharing your findings with your team, presentation matters. You need to make a clear presentation and demonstrate how user insights will influence design and development. If you’ve conducted UX research in the past, share data that proves how implementing user insights has improved product adoption.

Examples of ways you can present your results include:

• A physical or digital PDF report with key statistics and takeaways
• An interactive online report of the individual research questions and their results
• A presentation explaining the results and your findings
• A digital whiteboard, like Miro, to display the results

In your plan, mention how you’ll share insights with the product team. For example, if you’re using Maze, you can start by emailing everyone the ready-to-share report and setting up a meeting with the team to identify how to bring those insights to life. This is key, because your research should be the guiding light for new products or updates, if you want to keep development user-centric. Taking care over how you present your findings will impact whether they’re taken seriously and implemented by other stakeholders.

Templates for UX research

Whether you’re creating the plan yourself or are delegating this responsibility to your team, here are six research templates to get started:

• UX research plan template : This editable Miro research project plan example helps you brainstorm user and business-facing problems, objectives, and questions
• UX research brief : You need a clear brief before you conduct UX research—Milanote shares a template that will help you simplify the writing process
• User testing synthesis : Trello put together a sample board to organize user testing notes—you can use this as a guide, but change the titles to fit your UX research purposes
• Usability testing templates : At Maze, we’ve created multiple templates for conducting specific UX research methods—this list will help you create different remote usability tests
• Information architecture (IA) tests template : The way you organize the information in your website or app can improve or damage the user experience—use this template to run IA tests easily
• Feedback survey templates : Ask users anything through a survey, and use these templates to get creative and simplify creation

Everything you need to know about UX research plans

We all know that a robust plan is essential for conducting successful UX research. But, in case you want a quick refresher on what we’ve covered:

• Using a UX research strategy as a starting point will make your plan more likely to succeed
• Determine your research objectives before anything else
• Use a mix of qualitative and quantitative research methods
• Come up with clear personas so you can recruit and test a group of individuals that’s representative of your real end users
• Involve stakeholders from the beginning to get buy-in
• Be vocal about timelines, budget, and expected research findings
• Use the insights to power your product decisions and wow your users; building the solution they genuinely want and need

UX research can happen at any stage of the development lifecycle. When you build products with and for users, you need to include them continuously at various stages of the process.

It’s helpful to explore the need for continuous discovery in your UX research plan and look for a tool like Maze that simplifies the process for you. We’ll cover more about the different research methods and UX research tools in the upcoming chapters—ready to go?

Elevate your UX research workflow

Discover how Maze can streamline and operationalize your research plans to drive real product innovation while saving on costs.

Frequently asked questions

What’s the difference between a UX research plan and a UX research strategy?

The difference between a UX research plan and a UX research strategy is that they cover different levels of scope and detail. A UX research plan is a document that guides individual user experience (UX) research projects. UX research plans are shared documents that everyone on the product team can and should be familiar with. The UX research strategy, on the other hand, outlines the high-level goals, expectations, and demographics of the discovery.

What should you include in a user research plan?

Here’s what to include in a user research plan:

• Problem statement
• Research objectives
• Research methods
• Participants' demographics
• Recruitment plan
• User research brief
• Expected timeline
• How to present findings

How do you write a research plan for UX design?

Creating a research plan for user experience (UX) requires a clear problem statement and objectives, choosing the right research method, recruiting participants and briefing them, and establishing a timeline for your project. You'll also need to plan how you'll analyze and present your findings.

Generative Research: Definition, Methods, and Examples

Students & Educators  —Menu

• Educational Resources
• Educators & Faculty
• College Planning
• ACS ChemClub
• Project SEED
• U.S. National Chemistry Olympiad
• Student Chapters
• ACS Meeting Information
• Undergraduate Research
• Internships, Summer Jobs & Coops
• Study Abroad Programs
• Finding a Mentor
• Two Year/Community College Students
• Social Distancing Socials
• Planning for Graduate School
• Grants & Fellowships
• Career Planning
• International Students
• Planning for Graduate Work in Chemistry
• ACS Bridge Project
• Graduate Student Organizations (GSOs)
• Schedule-at-a-Glance
• Standards & Guidelines
• Explore Chemistry
• Science Outreach
• Publications
• ACS Student Communities
• You are here:
• American Chemical Society
• Students & Educators

Writing the Research Plan for Your Academic Job Application

By Jason G. Gillmore, Ph.D., Associate Professor, Department of Chemistry, Hope College, Holland, MI

A research plan is more than a to-do list for this week in lab, or a manila folder full of ideas for maybe someday—at least if you are thinking of a tenure-track academic career in chemistry at virtually any bachelor’s or higher degree–granting institution in the country. A perusal of the academic job ads in C&EN every August–October will quickly reveal that most schools expect a cover letter (whether they say so or not), a CV, a teaching statement, and a research plan, along with reference letters and transcripts. So what is this document supposed to be, and why worry about it now when those job ads are still months away?

What Is a Research Plan?

A research plan is a thoughtful, compelling, well-written document that outlines your exciting, unique research ideas that you and your students will pursue over the next half decade or so to advance knowledge in your discipline and earn you grants, papers, speaking invitations, tenure, promotion, and a national reputation. It must be a document that people at the department you hope to join will (a) read, and (b) be suitably excited about to invite you for an interview.

That much I knew when I was asked to write this article. More specifics I only really knew for my own institution, Hope College (a research intensive undergraduate liberal arts college with no graduate program), and even there you might get a dozen nuanced opinions among my dozen colleagues. So I polled a broad cross-section of my network, spanning chemical subdisciplines at institutions ranging from small, teaching-centered liberal arts colleges to our nation’s elite research programs, such as Scripps and MIT. The responses certainly varied, but they did center on a few main themes, or illustrate a trend across institution types. In this article I’ll share those commonalities, while also encouraging you to be unafraid to contact a search committee chair with a few specific questions, especially for the institutions you are particularly excited about and feel might be the best fit for you.

How Many Projects Should You Have?

While more senior advisors and members of search committees may have gotten their jobs with a single research project, conventional wisdom these days is that you need two to three distinct but related projects. How closely related to one another they should be is a matter of debate, but almost everyone I asked felt that there should be some unifying technique, problem or theme to them. However, the projects should be sufficiently disparate that a failure of one key idea, strategy, or technique will not hamstring your other projects.

For this reason, many applicants wisely choose to identify:

• One project that is a safe bet—doable, fundable, publishable, good but not earthshaking science.
• A second project that is pie-in-the-sky with high risks and rewards.
• A third project that fits somewhere in the middle.

Having more than three projects is probably unrealistic. But even the safest project must be worth doing, and even the riskiest must appear to have a reasonable chance of working.

How Closely Connected Should Your Research Be with Your Past?

Your proposed research must do more than extend what you have already done. In most subdisciplines, you must be sufficiently removed from your postdoctoral or graduate work that you will not be lambasted for clinging to an advisor’s apron strings. After all, if it is such a good idea in their immediate area of interest, why aren’t they pursuing it?!?

But you also must be able to make the case for why your training makes this a good problem for you to study—how you bring a unique skill set as well as unique ideas to this research. The five years you will have to do, fund, and publish the research before crafting your tenure package will go by too fast for you to break into something entirely outside your realm of expertise.

Biochemistry is a partial exception to this advice—in this subdiscipline it is quite common to bring a project with you from a postdoc (or more rarely your Ph.D.) to start your independent career. However, you should still articulate your original contribution to, and unique angle on the work. It is also wise to be sure your advisor tells that same story in his or her letter and articulates support of your pursuing this research in your career as a genuinely independent scientist (and not merely someone who could be perceived as his or her latest "flunky" of a collaborator.)

Should You Discuss Potential Collaborators?

Regarding collaboration, tread lightly as a young scientist seeking or starting an independent career. Being someone with whom others can collaborate in the future is great. Relying on collaborators for the success of your projects is unwise. Be cautious about proposing to continue collaborations you already have (especially with past advisors) and about starting new ones where you might not be perceived as the lead PI. Also beware of presuming you can help advance the research of someone already in a department. Are they still there? Are they still doing that research? Do they actually want that help—or will they feel like you are criticizing or condescending to them, trying to scoop them, or seeking to ride their coattails? Some places will view collaboration very favorably, but the safest route is to cautiously float such ideas during interviews while presenting research plans that are exciting and achievable on your own.

How Do You Show Your Fit?

Some faculty advise tailoring every application packet document to every institution to which you apply, while others suggest tweaking only the cover letter. Certainly the cover letter is the document most suited to introducing yourself and making the case for how you are the perfect fit for the advertised position at that institution. So save your greatest degree of tailoring for your cover letter. It is nice if you can tweak a few sentences of other documents to highlight your fit to a specific school, so long as it is not contrived.

Now, if you are applying to widely different types of institutions, a few different sets of documents will certainly be necessary. The research plan that you target in the middle to get you a job at both Harvard University and Hope College will not get you an interview at either! There are different realities of resources, scope, scale, and timeline. Not that my colleagues and I at Hope cannot tackle research that is just as exciting as Harvard’s. However, we need to have enough of a niche or a unique angle both to endure the longer timeframe necessitated by smaller groups of undergraduate researchers and to ensure that we still stand out. Furthermore, we generally need to be able to do it with more limited resources. If you do not demonstrate that understanding, you will be dismissed out of hand. But at many large Ph.D. programs, any consideration of "niche" can be inferred as a lack of confidence or ambition.

Also, be aware that department Web pages (especially those several pages deep in the site, or maintained by individual faculty) can be woefully out-of-date. If something you are planning to say is contingent on something you read on their Web site, find a way to confirm it!

While the research plan is not the place to articulate start-up needs, you should consider instrumentation and other resources that will be necessary to get started, and where you will go for funding or resources down the road. This will come up in interviews, and hopefully you will eventually need these details to negotiate a start-up package.

Who Is Your Audience?

Your research plan should show the big picture clearly and excite a broad audience of chemists across your sub-discipline. At many educational institutions, everyone in the department will read the proposal critically, at least if you make the short list to interview. Even at departments that leave it all to a committee of the subdiscipline, subdisciplines can be broad and might even still have an outside member on the committee. And the committee needs to justify their actions to the department at large, as well as to deans, provosts, and others. So having at least the introduction and executive summaries of your projects comprehensible and compelling to those outside your discipline is highly advantageous.

Good science, written well, makes a good research plan. As you craft and refine your research plan, keep the following strategies, as well as your audience in mind:

• Begin the document with an abstract or executive summary that engages a broad audience and shows synergies among your projects. This should be one page or less, and you should probably write it last. This page is something you could manageably consider tailoring to each institution.
• Provide sufficient details and references to convince the experts you know your stuff and actually have a plan for what your group will be doing in the lab. Give details of first and key experiments, and backup plans or fallback positions for their riskiest aspects.
• Hook your readers with your own ideas fairly early in the document, then strike a balance between your own new ideas and the necessary well referenced background, precedents, and justification throughout. Propose a reasonable tentative timeline, if you can do so in no more than a paragraph or two, which shows how you envision spacing out the experiments within and among your projects. This may fit well into your executive summary
• Show how you will involve students (whether undergraduates, graduate students, an eventual postdoc or two, possibly even high schoolers if the school has that sort of outreach, depending on the institutions to which you are applying) and divide the projects among students.
• Highlight how your work will contribute to the education of these students. While this is especially important at schools with greater teaching missions, it can help set you apart even at research intensive institutions. After all, we all have to demonstrate “broader impacts” to our funding agencies!
• Include where you will pursue funding, as well as publication, if you can smoothly work it in. This is especially true if there is doubt about how you plan to target or "market" your research. Otherwise, it is appropriate to hold off until the interview to discuss this strategy.

So, How Long Should Your Research Plan Be?

Learn more on the Blog

Here is where the answers diverged the most and without a unifying trend across institutions. Bottom line, you need space to make your case, but even more, you need people to read what you write.

A single page abstract or executive summary of all your projects together provides you an opportunity to make the case for unifying themes yet distinct projects. It may also provide space to articulate a timeline. Indeed, many readers will only read this single page in each application, at least until winnowing down to a more manageable list of potential candidates. At the most elite institutions, there may be literally hundreds of applicants, scores of them entirely well-suited to the job.

While three to five pages per proposal was a common response (single spaced, in 11-point Arial or 12-point Times with one inch margins), including references (which should be accurate, appropriate, and current!), some of my busiest colleagues have said they will not read more than about three pages total. Only a few actually indicated they would read up to 12-15 pages for three projects. In my opinion, ten pages total for your research plans should be a fairly firm upper limit unless you are specifically told otherwise by a search committee, and then only if you have two to three distinct proposals.

Why Start Now?

Hopefully, this question has answered itself already! Your research plan needs to be a well thought out document that is an integrated part of applications tailored to each institution to which you apply. It must represent mature ideas that you have had time to refine through multiple revisions and a great deal of critical review from everyone you can get to read them. Moreover, you may need a few different sets of these, especially if you will be applying to a broad range of institutions. So add “write research plans” to this week’s to do list (and every week’s for the next few months) and start writing up the ideas in that manila folder into some genuine research plans. See which ones survive the process and rise to the top and you should be well prepared when the job ads begin to appear in C&EN in August!

Jason G. Gillmore , Ph.D., is an Associate Professor of Chemistry at Hope College in Holland, MI. A native of New Jersey, he earned his B.S. (’96) and M.S. (’98) degrees in chemistry from Virginia Tech, and his Ph.D. (’03) in organic chemistry from the University of Rochester. After a short postdoctoral traineeship at Vanderbilt University, he joined the faculty at Hope in 2004. He has received the Dreyfus Start-up Award, Research Corporation Cottrell College Science Award, and NSF CAREER Award, and is currently on sabbatical as a Visiting Research Professor at Arizona State University. Professor Gillmore is the organizer of the Biennial Midwest Postdoc to PUI Professor (P3) Workshop co-sponsored by ACS, and a frequent panelist at the annual ACS Postdoc to Faculty (P2F) Workshops.

Other tips to help engage (or at least not turn off) your readers include:

• Avoid two-column formats.
• Avoid too-small fonts that hinder readability, especially as many will view the documents online rather than in print!
• Use good figures that are readable and broadly understandable!
• Use color as necessary but not gratuitously.

Accept & Close The ACS takes your privacy seriously as it relates to cookies. We use cookies to remember users, better understand ways to serve them, improve our value proposition, and optimize their experience. Learn more about managing your cookies at Cookies Policy .

1155 Sixteenth Street, NW, Washington, DC 20036, USA |  service@acs.org  | 1-800-333-9511 (US and Canada) | 614-447-3776 (outside North America)

• Terms of Use
• Accessibility

Copyright © 2024 American Chemical Society

• CREd Library , Planning, Managing, and Publishing Research

Developing a Five-Year Research Plan

Cathy binger and lizbeth finestack, doi: 10.1044/cred-pvd-path006.

The following is a transcript of the presentation videos, edited for clarity.

What Is a Research Plan, and Why Do You Need One?

Presented by Cathy Binger

First we’re going to talk about what a research plan is, why it’s important to write one, and why five years—why not one year, why not ten years. So we’ll do some of those basic things, then Liza is going to get down and dirty into the nitty-gritty of “now what” how do I go about writing that research plan.

First of all, what is a research plan? I’m sure some of you have taken a stab at these already. In case you haven’t, this is a real personalized map that relates your projects to goals. It’s exactly what it sounds like, it’s a plan of how you’re going to go about doing your research. It doesn’t necessarily just include research.

It’s something that you need to put a little time and effort into in the beginning. And then, if you don’t revisit it, it’s really a useless document. It’s something that you need to come back to repeatedly, at least annually, and you need to make it visible. So it’s not a document that sits around and once a year you pull it out and look at it.

It can and should be designed, especially initially, with the help of a mentor or colleague. And it does serve multiple purposes, with different lengths and different amounts of detail.

I forgot to say, too, getting started, the slides for this talk were started using as a jumping off point Ray Kent’s talk from last year. So some of the slides we’ve borrowed from him, so many thanks to him for that.

But why do we want to do a research plan? Well, to me the big thing is the vision. Dr. Barlow talked this morning about your line of research and really knowing where you want to go, and this is where that shows up with all the nuts and bolts in place.

What do you want to accomplish? What do you want to contribute? Most of you are at the stage in your career where maybe you have started out with that you want to change the world scenario and realized that whatever you wanted your first research project to be, really, is your entire career. You need to get that down to the point where it is manageable projects that you can do—this is where you map out what those projects are and set reasonable timelines for that.

You want to really demonstrate your independent thinking and your own creativity, whatever that is that you then establish as a PhD student, postdoc, and beyond—this is where you come back to, okay, here’s how I’m going to go about achieving all of that.

This next point, learning to realistically gauge how long it takes to achieve each goal, this for most of us is a phenomenally challenging thing to do. Most of us really overestimate what we can do in a certain amount of time, and we learn the hard way that you can’t, and that’s another reason why you keep coming back to these plans repeatedly and learning over time what’s really manageable, what’s really doable, so we can still reach our goals and be very strategic about how we do that.

When you’re not strategic, you just don’t meet the goals. Your time gets sucked into so many different things. We need to be really practical and strategic.

Everything we do is going to take longer than we think.

I think this last one is something that maybe we don’t talk about enough. Really being honest with ourselves about the role of research in our lives. Not all of you are at very high-level research universities. Some of you have chosen to go elsewhere, where research maybe isn’t going to be playing the same role as it is for other people. The research plan for someone at an R One research intensive university is going to look quite different from someone who is at a primary teaching university. We need to be open and practical about that.

Getting sidetracked. I love this picture, I just found this picture the other day. This feels like my life. You can get pulled in so many different directions once you are a professor. You will get asked to do a thousand different things. There are lots of great opportunities that are out there. Especially initially, it’s tempting to say yes to all of them. But if you’re going to be productive, you have to be very strategic. I’m going to be a little bit sexist against my own sex here for a minute, but my observation has been that women tend to fall into this a little bit more than men do in wanting to say yes and be people pleasers for everything that comes down the pike.

It is a professional skill to learn how to say no. And to do that in such a way that you are not burning bridges as you go down the path. That is a critical skill if you are going to be a successful researcher. I can’t tell you how many countless people I’ve seen who are very bright, very dedicated, have the skills that it takes in terms of doing the work—but then they are not successful because they’ve gotten sidetracked and they try to be too much of a good citizen, give too much service to the department, too much “sure I’ll take on that extra class” or whatever else comes down the line.

I just spoke with a professor recently who had something like five hours a week of office hours scheduled every single week for one class. Margaret is shaking her head like “are you kidding?” That’s crazy stuff. But he wanted to really support his students. His students loved him, but he was not going to get tenure. That’s the story.

So we have to be very thoughtful and strategic, and what can help you with this, and ASHA very firmly recognizes which is why we’re here—is that your mentors in your life should be there to help you learn these skills and learn what to say yes to, and learn what to say no to. I’ve learned to say things like, “Let me check with my mentor before I agree to that.” And it gives you a way out of that. The line that I use a lot is, “Let me check with my department head” or, I just said this to somebody last week, “I just promised my department head two weeks ago that I would only do X number of external workshops this year, so I’m going to have to turn this one down.” Those are really important skills to develop.

And having that research plan in place that you can go back to and say, know what, it’s not on my plan I can’t do it. If I do it—I have to go back to my research plan and figure out what I’m going to kick off in order to review this extra paper, in order to take on this extra task. The plan also helps me to know exactly what to say no to. And to be very direct and have a very strong visual.

I actually have my research plan up on a giant whiteboard in my office, so I can always go back to that and see where I am, and I can say, “Okay, what am I going to kick off of here? Nothing. Okay, I have to say no to whatever comes up.” Just be strategic. This is where I see most beginning professors really end up taking that wrong fork in the road—taking that right instead of that left, and ending up not being the successful researcher that they wanted to be.

What evidence supports research planning? This was something Ray Kent had found. That a recent analysis had found that postdoc scholars who developed a written plan with their postdoc advisers were much more productive than those who didn’t. And your performance during a postdoc—and I know many of you have either finished your postdoc or decided not to—so more simply, just during those first six years, the decisions you make really do establish the foundation for the rest of your professional life. It’s very important to get started and get off on the right foot.

I love this quote, I just found it the other day: “Productivity is never an accident. It is always the result of a commitment to excellence, intelligent planning, and focused effort.”

What we see with productivity is that postdoc scholars who developed written productivity expectations with their advisers were more productive than those who didn’t. You see 23% more papers submitted, 30% more first-author papers, and more grant proposals as well.

So why five years? I’m going to start with number 5. It’s long enough to build a program of research, but short enough to deal with changing circumstances. That’s really the long and the short of the matter. As well as these other things as well that I won’t take the time to go through point by point.

What Should a Five-Year Plan Include?

Presented by Lizbeth Finestack

So, thinking about a five-year research plan, I like to think about it like your major “To Do List.” It’s what you’re going to accomplish in five years. Start thinking: What is going to be on my to do list?

You can also think about it like: Okay, I have research. I’ve got to do research. Maybe think about this as one big bucket, or maybe one humongous silo. I have some farm themes going on. Cathy was just on a farm, so I thought I’d tie that in.

So here’s your big silo. You can call that your research silo.

But more realistically, you need to think about it like separate buckets, separate silos, where research is just one of those. Just like Cathy indicated, there’s going to be lots of other things coming up that you’re going to have to manage. They are going to have to be on your to do list, you need to figure out how to fit everything in.

What all those other buckets or silos are, are really going to depend on your job. And maybe the size of the silos, and the size of the buckets are going to vary depending on where you are, what the expectations are at your institution.

That’s important to keep in mind, and Cathy said this too, it’s not going to be the same for everyone. The five-year plan has to be your plan, your to do list.

Here are some buckets or some silos that I have on my list and the way that I break it up, this is just one example, take it or leave it.

The first three are all very closely related, right? Thinking about grants, thinking about research, thinking about publications. I’m going to define grants as actual writing, getting the grant, getting the money.

Research is what you’re going to do once you get that money. Steps you need to take before you are getting the money. Any sorts of projects, the lab work, that’s why I have the lab picture there. Of course, publications are part of the product—what’s coming out of the research—but it also cycles in because you need publications to support that you are a researcher to apply for funding and show you have this line of research that you’ve established and you’ll be able to continue. So, those first three are really closely related. And that’s where I’ll go next. And then have teaching and service you see here at the bottom.

So thinking about research, in that broad sense. As you’re writing your five-year plan you’re going to want to think of, “What’s my long-term goal?” There’s lots of ways to think of long-term goals. You could think, before I die, this is what I want to accomplish. For me I kind of have that. My long-term goal is that I’m going to find the most effective and efficient interventions for kids with language impairment. Huge broad goal. But within that I can start narrowing it down.

Where am I within that? Within the next five years or maybe the next ten years, what is it I want to accomplish towards that goal. Then start thinking about: In order to accomplish that goal, what are the steps I need to take? Starting to break it down a little bit. Then it’s also going to be really important to think: where are you going to start? Where are you now? What do you need to have happen? And is it reasonable to accomplish this goal within five years? Is it going to take longer? Maybe you could do it in a couple years? Start thinking about the timeline that’s going to work for you.

Then thinking about your goals—and everyone’s program is going to be different, like I said, there’s going to be a lot of individual needs, preferences. So it might be the case that you have this one long-term goal that you’re aiming for. Long-term goal in the sense of, maybe, what you want to study in your R01, perhaps something like that. But in order to get to that point, you’re going to have several short-term goals that need to be accomplished.

Or maybe it’s the case that you have two long-term goals. And with each of those you’re going to have multiple short-term goals that you’re working on. Maybe the scope of each of these long-term goals is a little bit less than in that first scenario.

Start thinking about my research, what I want to do, and how it might fit into these different circumstances.

Also thinking about your goals, this is a slide from Ray Kent from last year, was thinking about the different types of projects you might want to pursue, and thinking about ones that are definitely well on your way. They are safe bets. You have some funding. They are going to lead directly into your longer-term plan.

Those are going to be your front burner—things you can easily focus on. That said, don’t put everything there.

You can also have things on the back burner. Things that really excite you, might have huge benefits, big pay. But you don’t want to spend all of your time there because they could be pretty risky.

Start thinking about where you’re putting your time. Are you putting it all on this high-risk thing that if it doesn’t pan out you’re going to be in big trouble? Or balancing that somewhat with your front burner. Making that steady progress that will lead directly to help fund an R01 or whatever the mechanism that you’re looking for.

Then, thinking about your goals—if you have multiple long-term goals, or thinking about your short-term goals, you could think about your process. Is it something where you need to do study 1 then study 2, then study 3—each of those building on each other, that’s leading to that long-term goal. In many cases, that is the case, where you have to get information from the first study which is going to lead directly to the second study and so forth.

Or is it the case that you can be working on these three short-term goals simultaneously? Spreading your resources at the same time. Maybe it will take longer for any one study, but across a longer period of time you’ll get the information that you need to reach that long-term goal.

Lots and lots of different ways to go about it. The important thing is to think about what your needs are and what makes the most sense for you.

Here’s my own little personal example. Starting over here, I have my dissertation study. My dissertation study was this early efficacy study looking at one treatment approach using novel forms that really can’t generalize to anything too useful, but it was important.

Then I did a follow up study, where I was taking that same paradigm, looking to see where kids with typical development perform on the task. So I have these two studies, and they served as my preliminary studies for an R03. So I just finished an R03 where I was looking at different treatment approaching for kids with primary language impairment. At the same time, while conducting my R03, I’m also looking at some different approaches that might help with language development. Also conducting surveys to see what current practices are.

I have these three projects going on simultaneously, that are going to lead to a bigger pilot study that are going to feed directly into my R01. All of this will serve as preliminary data to go into an R01.

Start thinking about your projects, what you have. Maybe starting with your dissertation project or work that you’re doing as a postdoc as seeing how that can feed into your long-term goal. And really utilizing it, building on it, to your benefit.

That’s all fine and dandy. You can draw these great pictures. But you still have to break it down some more. It’s not like, “Oh, I’m just going to do this project.” There are other steps involved, and lots of the time these steps are going to be just as time consuming.

Starting to think about: well, if you have the funding. Saying, “I want to do this study, but I have no money to do it.” What are the steps in order to get the money to do it? Do you have a pilot study? What do you need?

Start thinking about the resources? Do you need to develop stimuli, protocols, procedures? Start working on that. All of these can be very time consuming, and if you don’t jump on that immediately, it’s going to delay when you can start that project.

Thinking about IRB. Relationships for recruitment, if you’re working with special populations especially? Do you have necessary personnel, grad students, people to help you with the project? Do you need to train them? What’s the timeline of the study?

Start thinking about all these pieces, and how they are going to fit in that timeline.

This is one way that might help you start thinking about the resources that you need. This is online—Ray Kent had it in his talk, and when I was doing my searches I came across it too and I have the website at the end. Just different ways to think about the resources you might need.

Let’s talk about mapping it out. You have your long-term goal. You have your short-term goals. You’re breaking it down thinking about all those little steps that you need to accomplish. We gotta put it on a calendar. When is it going to happen?

This is an example—you might have your five years. Each month plugging in what are you going to accomplish by that time. Maybe it’s when are grant applications due? It’s going to be important to put those on there to go what do I need to do to make that deadline. Maybe it’s putting when you’re going to get publications out. Things like that.

Honestly, looking at this drives me a little bit crazy, it seems a bit overwhelming. But it’s important to get to these details.

This is an example from, I did Lessons for Success a few years ago and they had their format for doing your plan. I wrote out all my projects, started thinking about all the different aspects. So if something like this works for you, by all means you could use that type of procedure.

Here’s a grid that Ray Kent showed last year. We’re breaking it down by semester. Thinking about each of your semesters, what manuscripts you’re going to be working on, what data collection, your grant applications. Starting to get into some of those other buckets: course preparation, conference submissions.

We also need to include teaching and service.

You probably can’t see this very well. This is similar to that last slide Ray Kent had used last year.

I have my five year plan: what studies I want to accomplish, start thinking about breaking it down.

Then at the beginning of each semester, I fill in a grid like this. Where at the top, I have each of my buckets. I have my grant bucket, my writing bucket which is going to include publications. I also include doing article reviews in my writing bucket, because that’s my writing time. My teaching bucket, my research bucket. Then at the end, my service bucket.

At the beginning of the semester, I think about the big things I want to accomplish. I list those at the top. Then at the beginning of each month, I say, okay what are the things I’m going to accomplish this month, write those in. Then at the beginning of each week, I start looking at whether I’m dedicating any time to the things I said I was going to do that month. I start listing those out saying, this is the amount of time I’m going to spend on that. Of course, I have to take data on what I actually do, so I plug in how much time I’m spending on each of the tasks. Then I graph it, because that’s rewarding to see how much time you’re spending on things, and I get a little side-tracked sometimes.

Think about a system that will help you keep on track, to make sure you’re meeting the goals that you want to meet in terms of your research. But also getting the other things done that you need to get done in terms of teaching and service.

Discussion and Questions

Compiled from comments made during the Pathways 2014 and 2015 conferences. (Video unavailable.)

Building Flexibility into Your Five-Year Plan Comments by Ray Kent, University of Wisconsin-Madison

The five-year plan is not a contract. It’s a map or a compass. A general set of directions to help you plan ahead. It’s not even a contract with yourself, because it will inevitably be revised in some ways.

Sometimes cool things land in your lap. Very often it turns out that through serendipity or whatever else, you find opportunities that are very enticing. Some of those can be path to an entirely new line of research. Some of them can be a huge distraction and a waste of time. It’s a really cool part of science that new things come along. If we put on blinders and say, “I’m committed to my research plan,” and we don’t look to the left or the right, we’re really robbing ourselves of much of the richness of the scientific life. Science is full of surprises, and sometimes those surprises are going to appear as research projects. The problem is you don’t want to redirect all your time and resources to those until you’re really sure they are going to pay off. I personally believe, some of those high risk but really appealing projects are things you can nurse along. You can devote some time and build some collaborations – far enough to determine how realistic and viable they are. That’s important because those things can be the core of your next research program.

It’s very easy to get overcommitted. We all know people who always say “yes”—and we know those people, and they are often disappointing because they can’t get things done. It’s important to have new directions, but limit them. Don’t say, “I’m going to have 12 new directions this year.” Maybe one or two. Weigh them carefully. Talk about them with other people to get a judgment about how difficult it might be to implement them. It enriches science: not only our knowledge, but the way we acquire new knowledge. A psychologist, George Miller—this is the guy with the magic number 7 +- 2—when we interviewed him years ago at Boystown, he said, “My conviction is that everybody should be able to learn a new area of study within three months.” That’s what he thought for a scientist was a goal.

The idea is that you can learn new things. And that’s very important because when you think of it in terms of a 30-year career, how likely is it that the project that you’re undertaking at age 28 is the same project you’ll be working on at age 68? Not very likely. You’re going to be reinventing yourself as a scientist. And reinventing yourself is one of the most important things you can do, because otherwise you’re going to be dead wood. Some projects aren’t worth carrying beyond five or ten years. They have an expiration date.

Building Risk into Your Five-Year Plan Comments by Ray Kent, University of Wisconsin-Madison

Your doctoral study should generally be low-risk research. As you move into a postdoctoral fellowship, think about having two studies—one low-risk, one high-risk with a potential for high impact. At this time you can begin to play the risk factor a little bit differently.

When you are tenure-track you can have a mix of significance with low-risk and high-risk studies. And when you are tenured, then you can go for high risk, clinical trials, and collaborations. Because you have established your independence, so you do not need to worry about losing your visibility. You can be recognized as a legitimate member of the team.

As you plan your career, you should take risk into account. Just as you manage your money taking risk into account, we should manage our careers taking risk into account. I have met people who did not really think about that, and they embarked on some very risky procedures and wasted a lot of time and resources with very little to show for it. For example, don’t put everything into an untested technology basket. You want to be using state of the art technology, but you want to be sure it is going to give you what you need.

Other Formats and Uses of Your Research Plan Audience Comments

• If you do your job right with your job talk, there’s a lot of cross-pollination between your job talk and your research plan. Ideally your job talk tells your colleagues that this is the long-term plan that you have. And they shouldn’t be surprised when you submit a more detailed research plan. They should say, “okay this is very consistent with the job talk.” In my view, the job talk should be a crystal summary of the major aspects of that research program. Of course, much of the talk will be about a specific project or two—but it should always be embedded within the larger program. That helps the audience keep sight of the fact that you are looking at the program. You can say that this is one project that I’ve done, and I plan to do more of these, and this is how they are conceptually related. That’s a good example of why the research plan has multiple purposes – it can be a research statement, it can be the core of your job talk, it can be the nature of your elevator message, and it can be a version of your research plan for a K award application or R01 application or anything else of that nature.
• I think what’s useful is to actually draft your NIH biosketch. The new biosketch has a section called “contributions to science.” It’s really helpful to think about all your projects. It’s hard to start with a blank sheet of paper. But to have it in the format of a biosketch can be really helpful.

Avoiding Overcommitment Audience Comments

• One of the things that is amazing about planning is that if you put an estimate on the level of effort for each part of your plan, you’ll quickly find that you are living three or four lives. Some 300% of your time is spent. It’s helpful for those of us who might share my lack of ability to see constraints or limitations to reel it back and say, “I have a lot on my plate.” Which allows you to say no—which is not something we all do very well when it comes to those nice colleagues and those people you want to impress nationally and connect with. But it allows you to look at what’s planned and go, “I don’t know where I’d find the time to do that.” Which will hopefully help you stay on track.
• I keep a to do list, but I also keep a “to not do” list. One of the things I will keep on my plan is the maximum number of papers I will review in a year. If I hit that number in March, that’s it. I say no to every other paper that comes down the pike. That’s something to work out with your mentor as far as what’s realistic and what’s okay for you. Every time I get a request, I think, “That’s my reading and writing time, so what am I willing to give up. If it means I won’t be able to write on my own paper this week, am I willing to do this?”

Staying on Schedule with Reading, Writing, and Reviewing Audience Comments

• You have to do what works for you. Some people do wait for big blocks of time for writing—which are hard to come by. But the most important thing is to block off your time. Put it on your schedule, or it is the first thing that will get pushed aside.
• Another thing I’ve done with some of my colleagues is writing retreats. So maybe once a year, twice a year, we’ll get together. Usually we’ll go to a hotel or somewhere, and we’re just writing. It’s a great way to get a jumpstart on a project. Like, I need to sit down and start this manuscript, and you can keep going once you’ve got that momentum.
• My input would be that you really have to write all the time, every day. It’s a skill. I’ve found that if I take time off, my writing deteriorates. It’s something you need to keep up with.
• I would look at it like a savings account that you put money into on a daily, weekly, monthly basis. The flip side of writing is reading. I would read constantly, widely, and not just in the discipline. That will give you not only a breadth in terms of your understanding of your field and the world around you, but it will also give you an incentive to make your own contributions. I think we don’t talk enough about the comprehensive side to this, and being receptive to the reading. I have a book, or something, by my bedside every night. And I read that until I fall asleep every night. And it’s done me in good stead over the years.
• Reviewing articles can help advance your career, but it is something you need to weigh carefully as a draw on your time. You get a lot from it. You get to see what’s out there. You get to see what’s coming down the pipe before publication. To me that’s a huge benefit. You get to learn from other people’s writing, and that’s part of your reading you get to do. But it is time consuming. And it depends on the kinds of papers you get. Sometimes you’re lucky and sometimes you’re not.
• If someone else is reviewing your grants and your articles, at some point you owe it back. You should at least be in break-even mode. Now, pre-tenure or postdoc your mentor should be doing that or senior faculty in the department. But there are so many articles to review. I review so many articles, but I am also at the tail end of my career. The bottom line is, if you don’t put on your schedule that if you don’t put time on your schedule for reading, reviewing articles forces you to look at and think about the literature, so you can be accomplishing what you owe back to the field—and at the same time, staying one step ahead knowledge wise. It forces you to do what you should be doing all along, which is keeping up with the literature.

Further Reading: Web Resources

Golash-Boza, T. (2014). In Response to Popular Demand, More on the 5-Year Plan. The Professor Is In . Available at http://theprofessorisin.com/2014/05/09/in-response-to-popular-demand-more-on-the-5-year-plan

Kelsky, K. (2010). The Five-Year Plan for Tenure-Track Professors. Get a life, PhD . Available at http://getalifephd.blogspot.com/2010/07/five-year-plan-for-tenure-track.html

National Association of Geoscience Teachers (NAGT). (2012). Planning Worksheets . Planning your Research Program (Available from the Science Education Resource Center at Carelton College Website at http://serc.carleton.edu/).

Pfirman, S., Bell, R., Culligan, P., Balsam, P. & Laird, J. (2008) . Maximizing Productivity and Recognition , Part 3: Developing a Research Plan. Science Careers. Available at http://sciencecareers.sciencemag.org/career_magazine/previous_issues/articles/2008_10_10/caredit.a0800148

Cathy Binger University of New Mexico

Lizbeth Finestack University of Minnesota

Based on a presentation and slides originally developed by Ray Kent, University of Wisconsin-Madison.

Presented at Pathways (2015). Hosted by the American Speech-Language-Hearing Association Research Mentoring Network.

Pathways is sponsored by the National Institute on Deafness and Other Communication Disorders (NIDCD) of the National Institutes of Health (NIH) through a U24 grant awarded to ASHA.

Copyrighted Material. Reproduced by the American Speech-Language-Hearing Association in the Clinical Research Education Library with permission from the author or presenter.

Clinical Research Education

More from the cred library, innovative treatments for persons with dementia, implementation science resources for crisp, when the ears interact with the brain, follow asha journals on twitter.

© 1997-2024 American Speech-Language-Hearing Association Privacy Notice Terms of Use

Skip navigation

• Log in to UX Certification

World Leaders in Research-Based User Experience

Planning research with generative ai.

April 5, 2024 2024-04-05

• Email article
• Share on LinkedIn
• Share on Twitter

AI chatbots (like ChatGPT, Google’s Gemini, and Microsoft Copilot) can support UX researchers of all experience levels in planning their research.

In This Article:

What is a research plan, using ai chatbots to write a research plan.

Good research always starts with a plan.

A research plan is a document that outlines the research objectives and how the research will be executed.

Research plans should include:

• The research goals or questions that the research is hoping to achieve or answer
• The method to be used and a description of how it will be carried out
• The tasks or questions that will be given to study participants
• The profile of the target participants
• The screener questionnaire used to recruit participants

Creating a research plan can be time-consuming. Even with a good template, a researcher must generate research questions, select the appropriate method(s), decide how to run sessions, and often create study collateral (like screeners and tasks) from scratch. The good news is that AI can help with many, if not all, of these tasks!

It can be tempting to just ask an AI tool to give you a research plan for a project. Don’t do that.

❌ Bad Prompt : Generate a research plan for a usability test of a food-delivery app.

This kind of request results in a generic, template-like response, partly because AI lacks the context to propose a complete research plan and partly because of how the model has been trained.

To construct a useful research plan, deconstruct the plan into parts and have the AI chatbot tackle each part individually. You can assemble responses in a final research plan.

Don’t expect the AI to ask you the right questions in order to get a comprehensive outcome. View the AI tool as a UX assistant , not as a UX mentor. You need to feed into the AI all the steps and details you want it to consider.

Follow the steps below for the best results.

Step 1: Provide Context

Imagine asking an experienced colleague for recommendations on what research study to run without giving them any context on what project you’re working on and what you’re trying to achieve. They would probably say, "It depends on what you’re trying to learn.” Conversing with AI presents no exception.

Start your conversation with enough context , especially if the AI tool does not already have this information stored about you or your current project. ( ChatGPT 4 allows users to store context for each new conversation.)

The contextual information you share should include who you work for, the scope of your project, and what you’re looking to achieve. Remember that some AI tools may use your conversations to train their models, so share only information you would be comfortable with being in the open domain.

 Prompt Template: I work for [type or organization] . My company provides [what kind of product, service, or experience] . I need to run a user-research study to learn [something about users or a problem] .

Step 2: Generate Research Questions

After providing the AI tool with context, ask it to suggest specific research questions for the study. Here’s an example from a recent study on research repositories that I conducted for NN/g.

Prompt Example: I will run a research study and report on how UX practitioners across different organizations set up and use research repositories. Please generate 10 research questions that would be suitable for this sort of study.

It’s a good idea to ask generative AI tools for more options or ideas than you think you’ll need, because some will not be a good fit.

Microsoft Copilot responded to the prompt above with the 10 research questions below.

10 Research questions generated by Microsoft Copilot

Who are the primary users of the research repository within different organizations? What motivates users to engage with the research repository? How do different teams (design, product, sales, marketing) access and benefit from the research repository? What challenges do practitioners face when contributing to or retrieving information from the repository? What types of research artifacts (reports, raw data, templates) are most commonly stored in the repository? How do organizations structure their research repositories? What tools and templates are commonly used to facilitate research repository management? How do practitioners ensure the quality and accuracy of information in the repository? What impact does the research repository have on decision-making and project outcomes? What strategies can organizations implement to encourage widespread adoption and active participation in the research repository?

To broaden your pool of research questions, ask for further research questions or provide the same prompt in a new session. Repeat this process as many times as you need to generate a list that feels exhaustive of what you’d like to learn.

Some of the research questions Copilot generated for me were appropriate, and others were not. As a result, I had AI generate more research questions to choose from.

Unfortunately, most AI chatbots don’t offer an easy way to dismiss suggestions or combine specific responses and work from only these (a behavior called apple-picking ).

Pulling in generated research questions into an offline document (like a FigJam or Google Doc) allows you to easily group items, remove duplicates, or reword suggested research questions.

Begin a new chat session with your selected and refined set of research questions, so that the unwanted research questions are removed from the chat history.

Step 3: Request Methods

After sharing the context and your chosen research questions, ask the AI tool to identify suitable research methods.

Example Prompt : What study would you suggest to answer these research questions? Please be specific; cite which research questions would be answered by which research method if you suggest multiple methods.

Generative-AI advice is not always good advice. Often, these tools will suggest various methods and suggest you triangulate data from multiple sources. This approach is not always needed. Also, not all methods will be practical or the best fit for your study. Additionally, AI may suggest interviews and focus groups even for research questions better suited to a behavioral research method .

Ask AI chatbots to tell you which research methods would be suited to which research question and why. We also recommend doing some further reading on your own about any methods that are unfamiliar to you.

In response to the prompt above (and given my chosen research questions), ChatGPT recommended a survey, interviews with select UX practitioners, and case studies. These were all my chosen methods, so AI had done well here!

Step 4: Request Inclusion Criteria

AI can create inclusion criteria — a necessary component of your research plan. Do this step only after generating research questions and methods since these will inform who should participate in the research study.

Inclusion criteria (or recruitment criteria) are specific characteristics of the target population that need to be represented in your sample.

Start with inclusion criteria before asking the AI to help you write a screening questionnaire ; AI can only craft an appropriate screener after it “knows” who you’re looking to recruit.

Example Prompt: So that I recruit the right people for my interviews, help me create some inclusion criteria. What characteristics or behaviors should I recruit for?

Step 5: Request Help with Screeners, Interview Questions, and Tasks

Finally, ask the AI to put together:

• Interview questions or an interview guide (if conducting interviews)
• Tasks for a usability test
• Diary-study prompts (if relevant)
• Recruitment confirmation emails or other communication messages.

Unfortunately, there are a lot of bad examples of the above on the web. Conversational AI has been trained on all this data. Therefore, don’t be surprised if it produces poor study collateral on its first attempt! This is a major risk area for new researchers.

One way to mitigate this danger is to give the AI tool advice when crafting any of these outputs . Think of AI as a new research assistant who can learn extremely quickly.

Common mistakes that AI tools make include:

• Using words that appear in the interface in task instructions (priming)
• Creating task instructions that ask users to imagine they are someone that they are not
• Not including a goal or a call to action in the task instruction
• Not including distractor options in screening questionnaires
• Using overenthusiastic marketing language in recruitment materials

It’s not surprising that AI makes these mistakes since UX practitioners also make them!

To improve outputs, feed the AI essential tips, such as:

• When crafting tasks: Do not use the name of words or link labels in the task instruction. Find a natural-language equivalent to explain what the participant should do . (You can ask AI to “read” a website or an image.)
• When crafting recruitment materials: Use neutral and concise language in the recruitment email. Avoid using overly enthusiastic marketing language.
• When crafting a screener: Include multiple-choice questions and answer options that might disguise what the study is about and who I am looking to recruit.

Additionally, when possible, feed the AI with good examples of screener questionnaires, tasks, or interview questions, so it can follow their format or style.

Even with this advice, AI can still make mistakes. If you’re doubting its answers, check primary sources or speak with an experienced researcher for old-fashioned human guidance.

If you have ChatGPT’s Plus Plan, you can use our GPT for planning your research.

With the proper context, examples, and advice, AI tools, like ChatGPT and Microsoft Copilot, can craft helpful research questions, tasks, interview questions, and other study collateral far more quickly than you could if you started from scratch.

Research leads and ResearchOps personnel can support junior researchers and PWDRs (People Who Do Research) by providing examples and advice that can be fed to AI agents. Experienced researchers can benefit from using AI to speed up their research-planning process and obtain further inspiration.

Free Downloads

Related courses, practical ai for ux professionals.

Leverage artificial intelligence tools to enhance your UX work and save valuable time

Interaction

ResearchOps: Scaling User Research

Orchestrate and optimize research to amplify its impact

Analytics and User Experience

Study your users’ real-life behaviors and make data-informed design decisions

Related Topics

• Artificial Intelligence Artificial Intelligence
• Research Methods

Learn More:

AI on Intranets: 5 Valuable Features

Anna Kaley · 3 min

ELIZA Effect: Why We Fall in Love With AI

Caleb Sponheim · 3 min

Is Aggressive Marketing Influencing the UX of AI Agents?

Jakob Nielsen · 2 min

Related Articles:

Generative UI and Outcome-Oriented Design

Kate Moran and Sarah Gibbons · 6 min

AI Chat Is Not (Always) the Answer

Sarah Gibbons and Kate Moran · 5 min

The UX of AI: Lessons from Perplexity

Kate Moran · 5 min

Response Outlining with Generative-AI Chatbots

Tarun Mugunthan · 3 min

Sycophancy in Generative-AI Chatbots

Caleb Sponheim · 4 min

Prompt Structure in Conversations with Generative AI

Raluca Budiu, Feifei Liu, Amy Zhang, and Emma Cionca · 16 min

8 Things You Should Always Do When Browsing at a Car Dealership

I t should come as no surprise that trust is a huge factor when you’re shopping around for a car. For a major purchase like a new vehicle, buyers are looking for clarity and straightforward help from their dealerships. According to a study from last year, trust and transparency are important to the majority of car buyers , with 88% saying trust is important when working with a dealer.

Unfortunately, transparent sales aren’t common at every car dealership. Half of all buyers indicate that their deals fell through during the price negotiations, and high-pressure sales tactics are still common nationwide. How do you make sure you’re getting the car you want while sticking to your budget?

If you’re planning to head to the dealership soon, here are a few things to keep in mind.

Do Your Research

Never enter a dealership without a plan. Wandering around without an idea of the car you want makes you prone to impulse decisions.

Instead, do your homework in advance. Read car-buying guides to figure out what kind of car you want, the features you want to prioritize, and what you can afford. It’s fine if you haven’t narrowed your options down to a single model, but reducing your choices to a handful of cars can save you a lot of time at the dealership. It’s much easier to have a dealer help you weigh the differences between the Nissan Frontier and the Nissan Titan than to have them walk you through dozens of options, some of which may be over your budget!

If you’re hoping to trade in your current vehicle, make sure you research that as well. Figure out what your ride is worth using online car value estimators from trusted sites like Kelley Blue Book or Edmunds.

Don’t forget to research the full costs of your new car to see how they fit your budget! You’ll be on the hook for car insurance and maintenance, both of which you can estimate using online calculators. However, many people forget about “hidden” costs like sales tax, documentation fees, registration fees, and delivery fees.

Get Pre-Approved Financing

Dealer financing is always an option, but it shouldn’t be your only option. Avoid painting yourself into a corner by securing financing from a bank or lender.

Many lenders offer pre-approval terms that help you understand exactly how much car you can afford, right down to the interest rates. This gives you more power at the negotiating table. In some cases, the dealership may bend over backward to beat your lender’s rates, helping you secure a great deal.

Go at the Right Time

If you don’t mind waiting a while to buy your car, consider waiting until the end of the month. Most dealerships want their salespeople to meet specific sales targets, so you’re more likely to get a deal from someone who hasn’t hit their boss’s goal.

Other good times to buy a new car include Memorial Day, Labor Day, the Fourth of July, and Presidents’ Day. These holidays often come with heavy promotions from dealerships, so you might score a deal if you’re willing to wait.

In terms of getting the attention of a salesperson, you’re more likely to avoid the crowds if you visit in the morning on a weekday.

Plan Your Test Drive

Be strategic about your test drive , which is your best option for figuring out if you really want to buy a specific vehicle. Come prepared with a list of questions and points to consider, especially if you couldn’t find details about certain features online.

You should also schedule an appointment for your test drive even if your dealership allows walk-ins. This helps you avoid a long wait if a salesperson has to find and drive the car from an overflow lot.

Plan to take the car in areas that mimic your usual driving activity. If your commute happens on the freeway, head to the interstate for your test drive to see how the car handles the acceleration, high speeds, and traffic. You should also plan a quieter stretch to hear how loud the car’s engine or wind noise will be.

Pay attention to your comfort over potholes and seams, how the brakes feel, the steering and handling, and your visibility. Keep in mind that little things that annoy you today may become major headaches down the road.

Don’t Do It Alone

Whenever possible, bring a neutral party with you when you’re shopping around for a car. This might be a friend or loved one you can trust to ensure that you don’t go over your budget. Tell this person you want them to keep you from splurging on additional features you don’t need.

Another trusted partner should be your mechanic, especially if you’re buying a used car. Bringing the car to a third-party expert can get a fresh set of eyes on the vehicle and shed light on any potential issues. Because mechanics know what red flags to look for, they may catch problems you wouldn’t have noticed on your own.

Consider Pre-Ordering

If you know exactly what you want in your next ride, consider pre-ordering it from the manufacturer.

This will extend your wait time, as pre-orders can take weeks or months, but it ensures that you’re getting the exact model you prefer right down to the details. It also helps you spend less time on the dealer’s lot. Even better, because the dealership saves on lot fees and insurance, the company will often pass those savings onto you.

Plan Your Car Dealership Visit

Visiting a car dealership is a great way to connect with local experts and get behind the wheel of potential new rides, but you’re more likely to find success if you plan in advance. If you’re in the market for a new car, make sure to follow the tips above before you step onto the lot! With a bit of research and a trusted wingman at your side, you’ll be sure to drive off with the car of your dreams.

Looking for more helpful guides like this one? Be sure to take a look at our other posts for tips and tricks!

This article is published by NYTech in collaboration with Syndication Cloud.

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

• Knowledge Base

Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs. quantitative : Will your data take the form of words or numbers?
• Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
• Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

Prevent plagiarism. Run a free check.

Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

• From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

• During an experiment .
• Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

Here's why students love Scribbr's proofreading services

Discover proofreading & editing

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square test of independence
• Statistical power
• Descriptive statistics
• Degrees of freedom
• Pearson correlation
• Null hypothesis
• Double-blind study
• Case-control study
• Research ethics
• Data collection
• Hypothesis testing
• Structured interviews

Research bias

• Hawthorne effect
• Unconscious bias
• Recall bias
• Halo effect
• Self-serving bias
• Information bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

Is this article helpful?

Other students also liked, writing strong research questions | criteria & examples.

• What Is a Research Design | Types, Guide & Examples
• Data Collection | Definition, Methods & Examples

More interesting articles

• Between-Subjects Design | Examples, Pros, & Cons
• Cluster Sampling | A Simple Step-by-Step Guide with Examples
• Confounding Variables | Definition, Examples & Controls
• Construct Validity | Definition, Types, & Examples
• Content Analysis | Guide, Methods & Examples
• Control Groups and Treatment Groups | Uses & Examples
• Control Variables | What Are They & Why Do They Matter?
• Correlation vs. Causation | Difference, Designs & Examples
• Correlational Research | When & How to Use
• Critical Discourse Analysis | Definition, Guide & Examples
• Cross-Sectional Study | Definition, Uses & Examples
• Descriptive Research | Definition, Types, Methods & Examples
• Ethical Considerations in Research | Types & Examples
• Explanatory and Response Variables | Definitions & Examples
• Explanatory Research | Definition, Guide, & Examples
• Exploratory Research | Definition, Guide, & Examples
• External Validity | Definition, Types, Threats & Examples
• Extraneous Variables | Examples, Types & Controls
• Guide to Experimental Design | Overview, Steps, & Examples
• How Do You Incorporate an Interview into a Dissertation? | Tips
• How to Do Thematic Analysis | Step-by-Step Guide & Examples
• How to Write a Literature Review | Guide, Examples, & Templates
• How to Write a Strong Hypothesis | Steps & Examples
• Inclusion and Exclusion Criteria | Examples & Definition
• Independent vs. Dependent Variables | Definition & Examples
• Inductive Reasoning | Types, Examples, Explanation
• Inductive vs. Deductive Research Approach | Steps & Examples
• Internal Validity in Research | Definition, Threats, & Examples
• Internal vs. External Validity | Understanding Differences & Threats
• Longitudinal Study | Definition, Approaches & Examples
• Mediator vs. Moderator Variables | Differences & Examples
• Mixed Methods Research | Definition, Guide & Examples
• Multistage Sampling | Introductory Guide & Examples
• Naturalistic Observation | Definition, Guide & Examples
• Operationalization | A Guide with Examples, Pros & Cons
• Population vs. Sample | Definitions, Differences & Examples
• Primary Research | Definition, Types, & Examples
• Qualitative vs. Quantitative Research | Differences, Examples & Methods
• Quasi-Experimental Design | Definition, Types & Examples
• Questionnaire Design | Methods, Question Types & Examples
• Random Assignment in Experiments | Introduction & Examples
• Random vs. Systematic Error | Definition & Examples
• Reliability vs. Validity in Research | Difference, Types and Examples
• Reproducibility vs Replicability | Difference & Examples
• Reproducibility vs. Replicability | Difference & Examples
• Sampling Methods | Types, Techniques & Examples
• Semi-Structured Interview | Definition, Guide & Examples
• Simple Random Sampling | Definition, Steps & Examples
• Single, Double, & Triple Blind Study | Definition & Examples
• Stratified Sampling | Definition, Guide & Examples
• Structured Interview | Definition, Guide & Examples
• Survey Research | Definition, Examples & Methods
• Systematic Review | Definition, Example, & Guide
• Systematic Sampling | A Step-by-Step Guide with Examples
• Textual Analysis | Guide, 3 Approaches & Examples
• The 4 Types of Reliability in Research | Definitions & Examples
• The 4 Types of Validity in Research | Definitions & Examples
• Transcribing an Interview | 5 Steps & Transcription Software
• Triangulation in Research | Guide, Types, Examples
• Types of Interviews in Research | Guide & Examples
• Types of Research Designs Compared | Guide & Examples
• Types of Variables in Research & Statistics | Examples
• Unstructured Interview | Definition, Guide & Examples
• What Is a Case Study? | Definition, Examples & Methods
• What Is a Case-Control Study? | Definition & Examples
• What Is a Cohort Study? | Definition & Examples
• What Is a Conceptual Framework? | Tips & Examples
• What Is a Controlled Experiment? | Definitions & Examples
• What Is a Double-Barreled Question?
• What Is a Focus Group? | Step-by-Step Guide & Examples
• What Is a Likert Scale? | Guide & Examples
• What Is a Prospective Cohort Study? | Definition & Examples
• What Is a Retrospective Cohort Study? | Definition & Examples
• What Is Action Research? | Definition & Examples
• What Is an Observational Study? | Guide & Examples
• What Is Concurrent Validity? | Definition & Examples
• What Is Content Validity? | Definition & Examples
• What Is Convenience Sampling? | Definition & Examples
• What Is Convergent Validity? | Definition & Examples
• What Is Criterion Validity? | Definition & Examples
• What Is Data Cleansing? | Definition, Guide & Examples
• What Is Deductive Reasoning? | Explanation & Examples
• What Is Discriminant Validity? | Definition & Example
• What Is Ecological Validity? | Definition & Examples
• What Is Ethnography? | Definition, Guide & Examples
• What Is Face Validity? | Guide, Definition & Examples
• What Is Non-Probability Sampling? | Types & Examples
• What Is Participant Observation? | Definition & Examples
• What Is Peer Review? | Types & Examples
• What Is Predictive Validity? | Examples & Definition
• What Is Probability Sampling? | Types & Examples
• What Is Purposive Sampling? | Definition & Examples
• What Is Qualitative Observation? | Definition & Examples
• What Is Qualitative Research? | Methods & Examples
• What Is Quantitative Observation? | Definition & Examples
• What Is Quantitative Research? | Definition, Uses & Methods

"I thought AI Proofreading was useless but.."

I've been using Scribbr for years now and I know it's a service that won't disappoint. It does a good job spotting mistakes”

• SUGGESTED TOPICS
• The Magazine
• Newsletters
• Managing Yourself
• Managing Teams
• Work-life Balance
• The Big Idea
• Data & Visuals
• Reading Lists
• Case Selections
• HBR Learning
• Topic Feeds
• Account Settings
• Email Preferences

Managing Anger, Frustration, and Resentment on Your Team

• Nihar Chhaya

Four strategies to help managers respond with compassion.

Anger and resentment across your team can make an already stressful leadership job feel worse. But how you respond to your employees’ frustrations is critical to ensuring negative emotions don’t limit your effectiveness. The author offers four recommendations to try: 1) Balance your emotions first before reacting to your team’s frustration. 2) Lean into their anger with an intent to learn. 3) Redesign team goals together. 4) Build deeper trust by owning your part.

With so much instability in the workplace these days, you may feel untethered in your daily job responsibilities as well as your long-term career. And when insecurity leads to frustration, it can be hard to keep your temper. But when you are in a leadership role, you face an even more formidable challenge: managing your team’s moods without letting their episodes of anger impair your effectiveness.

• Nihar Chhaya  is an executive coach to senior leaders at global companies, including American Airlines, Coca-Cola, DraftKings and Wieden+Kennedy.    A former F500 corporate head of talent development, he is the President of  PartnerExec , helping leaders master influence for superior business and strategic outcomes. You can sign up for Enviable, his weekly newsletter .  

Partner Center

• Compare Providers
• Review Providers

8 Reasons Why Your Internet is Slow (and How to Fix It)

Expert tips to banish slow internet speeds

You can generally fix a slow internet connection if the issue is on your end, but the solution depends on what’s causing the slowdowns. Speed bottlenecks happen for a number of reasons: a slow internet plan, Wi-Fi interference, outdated or malfunctioning equipment, the list goes on. 

You can easily lose an afternoon troubleshooting internet issues, but we have a quicker way to get things back up to speed. We put together a list of the eight most common reasons for a slow internet connection; chances are, one of these fixes will solve your issue. Before resigning to a lengthy troubleshooting session or an expensive technician appointment, we recommend you run through the list and save yourself some hassle. 

Fed up with slow internet? Check out your other options.

Enter your zip code below to see if a faster plan is available in your area.

Jump to: Why is your internet so slow? | How to fix your slow internet connection  | Other reasons your internet is slow | More ways to speed up slow internet | FAQ

Why is your internet so slow?

We provide more detail on each of these potential internet slowdown causes further down the page. Click on an issue to auto-scroll to the solution.

Here are the most common reasons for a slow internet connection:

1. You need to restart your modem and router Equipment restarts are hands down the most effective internet troubleshooting solution. This should always be your first step.

2. Your home network is congested Congestion happens when you overload your internet connection with more traffic than it can handle. To fix it, you can either lower your internet usage or upgrade to a faster plan.

3. Your provider’s network is congested Provider networks can get overloaded the same way your home network can: too much traffic and not enough bandwidth.

4. You need a stronger Wi-Fi signal You experience a weak Wi-Fi signal when you’re too far from your router, when the signal is forced to pass through obstructive materials, or when other Wi-Fi networks and electronic devices introduce interference. You can fix it by extending your Wi-Fi range, choosing a better spot for your router, or adjusting your router’s settings.

5. You exceeded your data cap Many internet providers limit how much data you can use per month. When you go over your limit, your ISP may slow your connection. You can avoid exceeding your data cap by keeping track of your data usage or by purchasing more data.

6. You have high latency High latency causes your internet to feel sluggish and is particularly frustrating with highly time-sensitive activities like gaming and video calls.

7. You have slow or outdated devices It’s not always your internet connection that’s causing the slowdowns, it could be one or more of your devices. If your slowdowns are limited to certain devices, you should start your troubleshooting efforts with those devices rather than your internet connection; sometimes, they just need a simple restart.

8. Your provider is throttling your connection Your ISP may be intentionally slowing down your connection for a number of reasons.

How much speed do you need?

What’s the perfect internet speed for you? Check out our How Much Speed Do You Need tool.

How to fix a slow internet connection

1. you need to restart your modem and router.

As the golden rule of internet troubleshooting, an equipment restart should always be your first step. It’s quick, easy, and effective.

The restart process is the same for a modem, router, or gateway (modem/router combo unit):

Step 1: Unplug the power cable from the back of the modem, router, or gateway.

Step 2: Wait 60 seconds.

Step 3: Plug the power cable back into the back of the equipment.

Step 4: Wait for the equipment to reboot (this can take up to 20 minutes).

2. Your home network is congested

Your slow speeds might be the result of trying to do too much at once on your internet connection. Think of your internet connection as a road directly to your house. One car’s worth of people (or internet data) can reach your house at a time. If there are three cars trying to get there, they have to line up to get to your house. And if more cars arrive as the others are waiting to reach your house, you get a traffic jam.

Here’s how you can tell if you need to upgrade your internet plan:

Use our internet speed test to see if you’re getting the speed advertised by your ISP. If your results are close to your plan speed, consider upgrading.

Download speed 000 Mbps

Upload speed 000 Mbps

Latency (ping) 00 ms

Jitter 00 ms

You can also fix home network congestion by dialing back your internet usage. Thankfully, there are severa l easy ways to do this that don’t include yelling at everyone to get off the internet so you can attend a Zoom meeting.

Here are a few tips on how to manage your home network traffic:

Use QoS settings to prioritize certain online activities

Many routers have a quality of service (or QoS) component that allows you to prioritize certain types of traffic on your home network. For example, you can make sure your streaming data always gets first access to available bandwidth for smooth playback.

Not all routers have adjustable QoS, but if your router does, you’ll find the controls in your router’s web interface. If you need help accessing your router’s settings see our guide on how log into your router .

Prune your internet connections

There may be some devices connected to your network that you rarely use—if at all. Even if you’re not actively using these devices, it still uses bandwidth for updates and other background services. Your router may even have a limited number of devices it can connect to simultaneously, and start kicking some of them off the network when you go over the limit.  

One simple way to take stock of all the devices using your network is to load your router’s web interface and view the network map. You will see all connected devices, whether they’re active or not, so you can block the ones you never use. Some routers have an app you can use instead of a web interface.

Another method is to change the Wi-Fi password, but that only applies to wireless devices . Once you do , you must manually reconnect every device .

Stagger bandwidth-hogging activities

If your connection can’t handle everyone online at once, stagger your internet activities so everyone gets a chance at an uninterrupted connection.

Also, make sure to schedule big downloads (like computer and game updates) during times when other people won’t be online.

Put visitors on a guest network

You can create a second guest network using your router’s web interface or mobile app. A guest network allows you to limit how much bandwidth guests can use, and what services and websites they can access . It also provides improved security by preventing guests’ devices from mingling with your devices, so there’s no worry about guests spreading malware to everything you use. Our guide on how to set up guest Wi-Fi covers a few different ways to establish a second network.

3. Your provider’s network is congested

Your ISP is also susceptible to network congestion. It’s similar to congestion on your home network but on a larger scale.

If the congestion gets particularly bad, your internet provider may throttle internet speeds in your area to reduce traffic for the network.

Unfortunately, large-scale network congestion is out of your control, but you can try to work around it by s cheduling big downloads during non-peak hours, like in the middle of the night.

When dealing with heavy ISP slowdowns that don’t resolve, the only real fix is switch ISPs. Luckily, there are lots of new services available, like 5G home internet, Satellite, and new fiber developments. If you’re craving a shiny new ISP, run your zip code in the search bar below; chances are you have some new ISP options.

4. You need a stronger Wi-Fi signal

Walls, distance, and interference from other Wi-Fi networks can weaken your Wi-Fi signal. Weaker Wi-Fi signals mean slower speeds and frequent disconnects . 

You can tell if signal interference and weak Wi-Fi signals are your issue by looking at your devices Wi-Fi meter . For fast connection, we recommend ensuring you have at least three bars of signal strength.

To fix weak Wi-Fi, first, check your router’s placement. Y ou want to make sure your router is in a central and elevated location and away from things that can affect your Wi-Fi signals (like walls, Bluetooth speakers, etc.). Sometimes, even moving your router a few feet can make a big difference. See our guide on choosing the best spot for your router . We also have a walkthrough on how to move your router to another room , which may be required to get adequate Wi-Fi coverage throughout your home. 

If that doesn’t work, you might need to replace your router with one designed for longer ranges or better coverage—or you can add an extender to your network to stretch Wi-Fi signals into a previously unreachable area . 

Check out our guides on how to extend your Wi-Fi range and long-range routers if you need better Wi-Fi coverage.

5. You exceeded your data cap

Many internet providers have data caps, and some slow your speeds to a crawl once you exceed your plan’s data limit. You can usually check to see how much data you’ve used on your online account or through your ISP’s app. Providers like Xfinity give customers very high data caps—1.2 TB for this example—and shouldn’t cause too many issues for most households. 

Satellite internet providers charge for internet use by data rather than by internet speed. It’s similar to how cell phone plans usually work: once you use up your data allowance for the month , your internet speeds are throttled. 

Hughesnet customers can see speeds drop to 1–3 Mbps. Viasat customers can expect all their internet traffic to be deprioritized, meaning that their data gets pushed to the back of the line of all Viasat customers’ data.

Many DSL, cable, and fiber internet companies are discontinuing data limits , but there are many others that continue to keep them in place . Look to see if your internet service has a data cap in our guide to ISP data caps .

6. You have high latency

Latency is the time data takes to make a round trip from your device to the destination and back. A high latency creates noticeable lag: an extended duration between your physical actions and the results displayed on your screen. This can be particularly frustrating with online gaming or video calls. 

High latency is difficult to work around. It depends partially on your physical distance from internet servers, network congestion between you and the servers , and your internet provider’s infrastructure—things that are mostly beyond your control. Internet type can also play into latency as well. 

For example, satellite internet has high latency because all your data must travel to space and back, both coming and going to your device. Newer types of internet, including fiber and 5G mmWave , have lower latency because they can handle faster signals. 

If you’re looking to lower your latency for a better connection, check out our report on the fastest ISPs . It dives into which internet services have the best tested speeds and lowest average latency.

7. You have slow or outdated devices

The problem might not be with your internet connection—it might be with the device you use . Your computer, tablet, phone, or gaming console could be outdated and not capable of processing today’s Wi-Fi speeds.

For example, the old (but much loved) PlayStation Vita handheld console supports up to 150 Mbps per second because it uses a Wi-Fi 4 radio. That speed can decrease based on the router it connects to and the security protocol it uses. The Vita will never see speeds beyond that 150 Mbps limit.

If you have speed issues on a desktop or laptop, try power cycling the device. This clears the memory of any junk, refreshes your connection, and cleans out unnecessary processes and temporary files. Speed issues tend to happen due to an overworked processor, and a quick power cycle—shutting it down completely for 30 seconds—will “clear its head.”

Other things that can slow down your devices include the following:

• Too many open applications
• Too many open browser tabs
• Outdated software
• Outdated drivers
• The operating system needs to reboot to install updates
• Patch downloads
• App downloads

Avoid overwhelming your computer’s CPU by closing unused applications and browser windows. Keep your device’s operating system up to date by allowing auto-updates, and keep your antivirus definitions current.

8. ISP throttling

Internet providers can throttle your speeds, causing a slow connection . We’ll go over throttling briefly here, but you can get a more in-depth look at the subject in our guide to network throttling .

We’ve already discussed a few circumstances where a provider might throttle your speeds—like if you go over your data cap or if there’s too much congestion in the network. But your provider might also slow you down if it flags your internet activity as potentially illegal or if it generally doesn’t want you to do a specific type of activity (like torrenting). 

To see if your provider is throttling your internet, run a speed test normally and then run it again using a VPN. If your speeds improve with the VPN, congratulations! You’re throttled.

Other factors that affect your speed

Your internet plan’s maximum speed.

Internet speeds are measured in megabits per second (Mbps) . This refers to your connection’s total bandwidth, not the actual time data uses to make a round trip to a website and back—that’s called latency.

Providers usually advertise their internet speeds as “up to” a certain number of megabits per second, and there’s usually some fine print that says those speeds are not guaranteed. Internet providers are mostly in the clear legally if your internet doesn’t actually perform up to the highest advertised bandwidth.

Realistically, you may pay for 400 Mbps per month, but you may not see that maximum due to hardware issues between your internet provider’s operator—a device that communicates with multiple modems—and your physical internet connection. Utility pole connections, your buried cable, and so on all play a major factor in how your connection performs.

If you need a refresher on internet speeds and what they mean, check out our guide to internet speeds .

Your upload and download speeds

You upload and download data every day, whether you’re on a smartphone or a laptop. For instance, when you access a website, you upload a request to that website and then download temporary files from the site to view it in your browser.

If you don’t have issues with streaming on Netflix or downloading files but are still experiencing some symptoms of slow internet speeds, your issue might actually be with your upload speed.

Cable, DSL, and satellite providers give customers way less upload bandwidth than download bandwidth because most people request much more information from the internet than they send. Upload speed is typically an issue for heavy uploaders—like Twitch streamers , people who work with video or audio , or those who often have to share large files. 

The best way to improve upload speeds is to switch to a fiber plan. Fiber-optic internet connections often give customers upload speeds equal to their download speeds. If you don’t know what kind of speeds you really need , check out our recommendations for upload and download speeds .

Your internet connection type

There are a few different technologies internet providers use to deliver your connection, like cable, fiber, satellite, or DSL. Your internet connection type p lays a huge factor in your overall speeds.

Satellite internet transfers internet signals from a base station to a satellite to a receiver at your home. Because all your information must travel such a long distance both ways, satellite internet can have very high latency compared to other types of internet, which slows things down. 

DSL internet uses phone lines to carry data. It can’t handle the same amount of bandwidth as cable or fiber. DSL internet tops out at just over 100 Mbps, and its electrical signals tend to degrade in quality over long distances. 

Cable internet is faster than DSL because it uses coaxial cables that have a higher bandwidth than phone cables . Speeds can reach up to 1,200 Mbps.

Fiber-optic internet is one of the newest types of internet, and it’s the best wired connection you can get. Fiber uses light pulses to send your internet data, so it has lower latency than other internet types as a whole. It can also carry much more bandwidth than cable or DSL, offering speeds up to 5 ,000 Mbps. It’s less prone to network congestion and offers equally high download and upload speeds.

Overall, DSL and cable are the most common internet types while fiber is newer but scarce. Satellite is best for rural areas where the other three types can’t reach.

More ways to speed up a slow internet connection

We provide some quick tips below to help speed up your internet connection. But if you’re ready to get to the bottom of your internet speed issues with some thorough troubleshooting, see our internet troubleshooting guide .

First, know your plan speed

You need to know how much speed you pay for each month and compare that number against the speed you’re actually getting now . Look on your paper bill or log in to your online account to see your plan’s advertised maximum speed.

Next, run a speed test and compare

Running a series of speed tests while connected to different points in your network can help you figure out where your speeds are slowing down. We’ll break the testing process down into two sections.

Part 1: Test the modem

Your first speed test is to see if you’re getting the correct speeds to your home compared with what you’re supposed to get from your internet provider . To get the most accurate results for your initial speed test, unplug your router from the modem and connect a computer to the same port on the modem using an Ethernet cable. If you have a wireless gateway, just plug it into one of the Ethernet ports.

Warning: We don’t recommend browsing the internet for extended periods of time without using a router. Your router has some excellent built-in security features that protect your network from viruses and malware.

This first test should give you results that are close to the speeds promoted with your plan. If not, try to track this issue over multiple days and times of day to establish a pattern. Contact your internet provider to talk about why you’re not getting the correct speeds if you continue to see lower than expected results . 

Part 2: Test the router

If your modem isn’t the issue, the next step is to test the router. Plug the router back into the modem and run multiple speed tests using your wireless devices, and wired devices plugged into the router’s Ethernet ports.

If you see a vast difference between the modem and router tests, then your router is causing your connection slowdowns—or the Ethernet cable tethering your router to the modem.

Keep in mind that not all wireless devices experience identical speeds. Their connections depend on the hardware inside no matter what router you use, so a budget Samsung phone will have slower Wi-Fi speeds than an expensive wireless card plugged into your desktop.

To troubleshoot router problems, follow these steps:

Step 1: Unplug the router’s power , wait 30 seconds, and then plug it back in.

Step 2: Make sure all cables are connected securely and that all ports work.

Step 3: Update your router’s firmware. You can do this by logging in to your router’s web interface or mobile app . (Your ISP likely does this automatically, but it’s worth checking.)

Step 4: Reposition your router .

Step 5: Move wireless connections to the best Wi-Fi band .

Step 6: Change Wi-Fi channels in your router’s interface to find one that’s less crowded.

Step 7: Try a factory reset by pressing the reset button located on the back of your router.

If none of these steps work, you may need to upgrade to a newer or more powerful router. Internet tech advances rather quickly, and if your router is more than a few years old, it might be time to get yourself something more modern .  If you’re looking for router-buying guidance, we have recommendations for the best long-range routers , the best modem and router combos , and the best routers for Xfinity .

Check for Wi-Fi dead zones

Wi-Fi problems can stem from multiple factors . It could be your router’s range, a crowded frequency channel or band, or signal interference caused by physical obstructions and other electronics. 

You already know that you should place your router at a central and elevated location for the best coverage, so we’ll assume that you’ve already done that and pointed your antennas in the right direction.

Go to different areas of your house with a computer or smartphone and watch the Wi-Fi signal strength indicator. If you notice a lot of dead zones, you may need to move your router again (if they happen in areas where you normally need Wi-Fi) or invest in something to boost your Wi-Fi signal to that particular area. You can also make a Wi-Fi heatmap if you want to get more precise with it. 

If you have more than a couple of issues with Wi-Fi dead zones, we recommend upgrading to a mesh networking kit . They usually ship with at least two nodes—one that connects to your modem and another that communicates directly with the first unit—to create a ”blanket” of coverage. There’s no centralized point, and you can easily add more nodes to extend coverage. Moreover, devices seamlessly switch between nodes as you move about the home or office.

If you prefer to stick with the traditional router, you could add a Wi-Fi extender or powerline adapter , However, we still prefer mesh router kits versus the router/extender setup .

Reorganize your Wi-Fi connections

If you’ve already pruned your Wi-Fi connections of unnecessary devices , it’s time to make sure all active connections are on the correct Wi-Fi band. 

Most modern routers offer two Wi-Fi bands, which each create their own visible Wi-Fi network. By default, these are usually labeled with their frequency bands, but it might be different if you’ve changed your Wi-Fi network’s name. 

These bands operate on two different frequencies: 2.4 GHz and 5 GHz. The 2.4 GHz frequency band has a better range, but it’s slower and more susceptible to signal interference from other electronics. The 5 GHz band is faster but can’t travel as far. 

Basically, you want to use the 5 GHz band for most bandwidth-heavy applications like streaming or gaming. Devices that don’t need that much speed—like smart home devices— should use the 2.4 GHz band instead .

Typically, you can change the Wi-Fi band each device uses by logging in to the correct Wi-Fi network on each device. However, some routers broadcast only one network name and automatically selects the best frequency band for your device. This can be problematic if you really need the faster 5 GHz connection, but the router forces your device to use the 2.4 GHz band.

Change your Wi-Fi band’s channel

Changing your router’s channel is a standard troubleshooting suggestion, but it may not work, and here’s why.

All three frequency bands are divided into small 20 MHz channels, and routers combine these channels to make larger ones. Most modern Wi-Fi 5 and Wi-Fi 6 devices use 80 MHz channels when they connect to the 5 GHz band for the most speed, so routers use these by default.

The thing is, routers only list the smaller channels, so you may run a Wi-Fi diagnostics app and see that channel 36 is clear for you to use, but in reality, it’s probably being used by a neighboring network that, like yours, combines channels 36, 40, 44, and 48 to create one 80 MHz channel.

If that’s the case, your best bet is to select one of the higher 5 GHz channels (if they’re available to you) and hope for the best. Most standalone routers allow you to change the channel in the web interface or mobile app, but you usually can’t change the channel on a mesh system.

Check connected devices

As we mentioned before, sometimes the issue isn’t with your internet connection— it’s with the smartphone, computer, or tablet you’re using to access the internet . It may need a reboot, it may be outdated, or you have too many apps and programs open, bogging down the device’s processor.

Manage your network

If you’ve made it this far and you’re still experiencing problems with slow internet speeds, run through the tips in the home network traffic section of this post if you haven’t already. 

Your speed issues most likely stem from your internet provider’s reliability or the traffic on your own home network. Even if you’ve organized and trimmed down your number of connected devices, you could still not have enough bandwidth at certain times of day to cover everything your network has to handle. The only solution to this is to either use the internet less or get a faster internet plan.

Check out every provider and plan in your area to see if you can get better speeds for a better deal.

Quick fixes for slow internet speeds (and why they work)

Before we dive in, download our internet speed test. Measuring your internet speed and knowing how it compares to the speeds you pay for is an important part of diagnosing a slow connection.

Fix #1: Power cycle your modem and router (or wireless gateway)

Your modem and router work hard , and sometimes they need to refresh with a quick power cycle. Simply pull the plug on both units, wait 30 seconds, and then plug the modem back into the wall outlet. Once it properly boots, do the same with the router.

In the case of a wireless gateway, pull the plug, wait, and plug it back in.

Draining both units of power allows them to clear the system memory, clear up any local communication issues, and reestablish fresh connections. Moreover, a power cycle allows the modem to resync with your internet provider’s operator—a device that communicates with multiple modems. It also refreshes your router’s public IP address.

Overall, a power cycle can really give your internet speeds a boost on your side of the modem.

Fix #2: Move your router to another location

Many people hide their routers or wireless gateways in closets, behind furniture , or down in basement s . Don’t be one of those people unless you want excessively bad Wi-Fi.

Instead , put as few physical barriers between your router and your devices as possible. Walls, floors, ceilings , doors, large furniture, and similar obstructions can barricade your Wi-Fi signals and reduce connection speeds , especially over longer distances. 

Certain signals from other devices can also interfere with your wireless speeds. These include microwaves, Bluetooth speakers, baby monitors, and cordless phones.

For the best Wi-Fi coverage, place your router in a central, elevated location, or at a location where you use Wi-Fi the most, like in a home office .

Be sure to use your router’s external antennas ( if present ) to get better Wi-Fi coverage. Most router antennas broadcast Wi-Fi signals in an outward circle perpendicular to the antenna’s position . For instance, if the antennas are positioned vertically, the Wi-Fi signals broadcast horizontally in all directions.

That said, if you live in a one-story house, keep the antennas vertical. If you live in a multistory house, position at least one antenna horizontally so the Wi-Fi signals reach the additional floors.

Fix #3: Use the internet during off-peak hours

If you know there’s a big download in your future— the latest version of macOS or a 100 GB update for an Xbox Series X game—you might want to schedule a time when you don’t need to do anything else online. The early morning hours are ideal when everyone is asleep and no other downloads currently hog your bandwidth.

Operating systems tend to wait until the early morning hours when you’re fast asleep. Game updates, meanwhile, typically require you to manually start the download. Other updates aren’t quite so accommodating with your schedule.

If your internet gets too slow to stream during certain peak hours, download the content earlier in the day (or again, in the middle of the night) so you’ll be ready to binge watch all of Avatar: The Last Airbender without buffering -related interruptions.

Fix #4: Upgrade your internet plan

You may need a faster plan if more people live with you now, if you transitioned to working from home, or if you generally use the internet more than you did before. Enter your zip code below to find a speedier plan that’s available in your area .

How do I know if I need a faster internet plan?

What is type of internet plan is the fastest.

Fiber internet is the fastest type of internet connection you can get. Many residential fiber-optic internet plans offer speeds up to 5,000 Mbps. There are even some fiber plans that offer 10,000 Mbps of bandwidth. Additionally, fiber internet offers symmetrical speeds, meaning your upload speeds are just as fast as your download speeds—a handy feature for activities like zoom calls, twitch streaming, and uploading large files.

Read page in Spanish

Author - Austin Aguirre

Austin worked as a broadband technician installing and troubleshooting countless home internet networks for some of the largest ISPs in the U.S. He became a freelance writer in 2020 specializing in software guides. After graduating with a BS in technical communication from Arizona State University, he joined the team at HighSpeedInternet.com where he focuses on home network improvement and troubleshooting.

Editor - Cara Haynes

Cara Haynes has been editing and writing in the digital space for seven years, and she's edited all things internet for HighSpeedInternet.com for five years. She graduated with a BA in English and a minor in editing from Brigham Young University. When she's not editing, she makes tech accessible through her freelance writing for brands like Pluralsight. She believes no one should feel lost in internet land and that a good internet connection significantly extends your life span.

Related Posts