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• How to Write Recommendations in Research | Examples & Tips

How to Write Recommendations in Research | Examples & Tips

Published on 15 September 2022 by Tegan George .

Recommendations in research are a crucial component of your discussion section and the conclusion of your thesis , dissertation , or research paper .

As you conduct your research and analyse the data you collected , perhaps there are ideas or results that don’t quite fit the scope of your research topic . Or, maybe your results suggest that there are further implications of your results or the causal relationships between previously-studied variables than covered in extant research.

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Table of contents

What should recommendations look like, building your research recommendation, how should your recommendations be written, recommendation in research example, frequently asked questions about recommendations.

Recommendations for future research should be:

• Concrete and specific
• Supported with a clear rationale
• Directly connected to your research

Overall, strive to highlight ways other researchers can reproduce or replicate your results to draw further conclusions, and suggest different directions that future research can take, if applicable.

Relatedly, when making these recommendations, avoid:

• Undermining your own work, but rather offer suggestions on how future studies can build upon it
• Suggesting recommendations actually needed to complete your argument, but rather ensure that your research stands alone on its own merits
• Using recommendations as a place for self-criticism, but rather as a natural extension point for your work

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There are many different ways to frame recommendations, but the easiest is perhaps to follow the formula of research question   conclusion  recommendation. Here’s an example.

Conclusion An important condition for controlling many social skills is mastering language. If children have a better command of language, they can express themselves better and are better able to understand their peers. Opportunities to practice social skills are thus dependent on the development of language skills.

As a rule of thumb, try to limit yourself to only the most relevant future recommendations: ones that stem directly from your work. While you can have multiple recommendations for each research conclusion, it is also acceptable to have one recommendation that is connected to more than one conclusion.

These recommendations should be targeted at your audience, specifically toward peers or colleagues in your field that work on similar topics to yours. They can flow directly from any limitations you found while conducting your work, offering concrete and actionable possibilities for how future research can build on anything that your own work was unable to address at the time of your writing.

See below for a full research recommendation example that you can use as a template to write your own.

The current study can be interpreted as a first step in the research on COPD speech characteristics. However, the results of this study should be treated with caution due to the small sample size and the lack of details regarding the participants’ characteristics.

Future research could further examine the differences in speech characteristics between exacerbated COPD patients, stable COPD patients, and healthy controls. It could also contribute to a deeper understanding of the acoustic measurements suitable for e-health measurements.

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While it may be tempting to present new arguments or evidence in your thesis or disseration conclusion , especially if you have a particularly striking argument you’d like to finish your analysis with, you shouldn’t. Theses and dissertations follow a more formal structure than this.

All your findings and arguments should be presented in the body of the text (more specifically in the discussion section and results section .) The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.

The conclusion of your thesis or dissertation should include the following:

• A restatement of your research question
• A summary of your key arguments and/or results
• A short discussion of the implications of your research

For a stronger dissertation conclusion , avoid including:

• Generic concluding phrases (e.g. “In conclusion…”)
• Weak statements that undermine your argument (e.g. “There are good points on both sides of this issue.”)

Your conclusion should leave the reader with a strong, decisive impression of your work.

In a thesis or dissertation, the discussion is an in-depth exploration of the results, going into detail about the meaning of your findings and citing relevant sources to put them in context.

The conclusion is more shorter and more general: it concisely answers your main research question and makes recommendations based on your overall findings.

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Research Recommendations – Guiding policy-makers for evidence-based decision making

Research recommendations play a crucial role in guiding scholars and researchers toward fruitful avenues of exploration. In an era marked by rapid technological advancements and an ever-expanding knowledge base, refining the process of generating research recommendations becomes imperative.

But, what is a research recommendation?

Research recommendations are suggestions or advice provided to researchers to guide their study on a specific topic . They are typically given by experts in the field. Research recommendations are more action-oriented and provide specific guidance for decision-makers, unlike implications that are broader and focus on the broader significance and consequences of the research findings. However, both are crucial components of a research study.

Difference Between Research Recommendations and Implication

Although research recommendations and implications are distinct components of a research study, they are closely related. The differences between them are as follows:

Types of Research Recommendations

Recommendations in research can take various forms, which are as follows:

These recommendations aim to assist researchers in navigating the vast landscape of academic knowledge.

Let us dive deeper to know about its key components and the steps to write an impactful research recommendation.

Key Components of Research Recommendations

The key components of research recommendations include defining the research question or objective, specifying research methods, outlining data collection and analysis processes, presenting results and conclusions, addressing limitations, and suggesting areas for future research. Here are some characteristics of research recommendations:

Research recommendations offer various advantages and play a crucial role in ensuring that research findings contribute to positive outcomes in various fields. However, they also have few limitations which highlights the significance of a well-crafted research recommendation in offering the promised advantages.

The importance of research recommendations ranges in various fields, influencing policy-making, program development, product development, marketing strategies, medical practice, and scientific research. Their purpose is to transfer knowledge from researchers to practitioners, policymakers, or stakeholders, facilitating informed decision-making and improving outcomes in different domains.

How to Write Research Recommendations?

Research recommendations can be generated through various means, including algorithmic approaches, expert opinions, or collaborative filtering techniques. Here is a step-wise guide to build your understanding on the development of research recommendations.

1. Understand the Research Question:

Understand the research question and objectives before writing recommendations. Also, ensure that your recommendations are relevant and directly address the goals of the study.

2. Review Existing Literature:

Familiarize yourself with relevant existing literature to help you identify gaps , and offer informed recommendations that contribute to the existing body of research.

3. Consider Research Methods:

Evaluate the appropriateness of different research methods in addressing the research question. Also, consider the nature of the data, the study design, and the specific objectives.

4. Identify Data Collection Techniques:

Gather dataset from diverse authentic sources. Include information such as keywords, abstracts, authors, publication dates, and citation metrics to provide a rich foundation for analysis.

5. Propose Data Analysis Methods:

Suggest appropriate data analysis methods based on the type of data collected. Consider whether statistical analysis, qualitative analysis, or a mixed-methods approach is most suitable.

6. Consider Limitations and Ethical Considerations:

Acknowledge any limitations and potential ethical considerations of the study. Furthermore, address these limitations or mitigate ethical concerns to ensure responsible research.

7. Justify Recommendations:

Explain how your recommendation contributes to addressing the research question or objective. Provide a strong rationale to help researchers understand the importance of following your suggestions.

8. Summarize Recommendations:

Provide a concise summary at the end of the report to emphasize how following these recommendations will contribute to the overall success of the research project.

By following these steps, you can create research recommendations that are actionable and contribute meaningfully to the success of the research project.

Download now to unlock some tips to improve your journey of writing research recommendations.

Example of a Research Recommendation

Here is an example of a research recommendation based on a hypothetical research to improve your understanding.

Research Recommendation: Enhancing Student Learning through Integrated Learning Platforms

Background:

The research study investigated the impact of an integrated learning platform on student learning outcomes in high school mathematics classes. The findings revealed a statistically significant improvement in student performance and engagement when compared to traditional teaching methods.

Recommendation:

In light of the research findings, it is recommended that educational institutions consider adopting and integrating the identified learning platform into their mathematics curriculum. The following specific recommendations are provided:

• Implementation of the Integrated Learning Platform:

Schools are encouraged to adopt the integrated learning platform in mathematics classrooms, ensuring proper training for teachers on its effective utilization.

• Professional Development for Educators:

Develop and implement professional programs to train educators in the effective use of the integrated learning platform to address any challenges teachers may face during the transition.

• Monitoring and Evaluation:

Establish a monitoring and evaluation system to track the impact of the integrated learning platform on student performance over time.

• Resource Allocation:

Allocate sufficient resources, both financial and technical, to support the widespread implementation of the integrated learning platform.

By implementing these recommendations, educational institutions can harness the potential of the integrated learning platform and enhance student learning experiences and academic achievements in mathematics.

This example covers the components of a research recommendation, providing specific actions based on the research findings, identifying the target audience, and outlining practical steps for implementation.

Using AI in Research Recommendation Writing

Enhancing research recommendations is an ongoing endeavor that requires the integration of cutting-edge technologies, collaborative efforts, and ethical considerations. By embracing data-driven approaches and leveraging advanced technologies, the research community can create more effective and personalized recommendation systems. However, it is accompanied by several limitations. Therefore, it is essential to approach the use of AI in research with a critical mindset, and complement its capabilities with human expertise and judgment.

Here are some limitations of integrating AI in writing research recommendation and some ways on how to counter them.

1. Data Bias

AI systems rely heavily on data for training. If the training data is biased or incomplete, the AI model may produce biased results or recommendations.

How to tackle: Audit regularly the model’s performance to identify any discrepancies and adjust the training data and algorithms accordingly.

2. Lack of Understanding of Context:

AI models may struggle to understand the nuanced context of a particular research problem. They may misinterpret information, leading to inaccurate recommendations.

How to tackle: Use AI to characterize research articles and topics. Employ them to extract features like keywords, authorship patterns and content-based details.

3. Ethical Considerations:

AI models might stereotype certain concepts or generate recommendations that could have negative consequences for certain individuals or groups.

How to tackle: Incorporate user feedback mechanisms to reduce redundancies. Establish an ethics review process for AI models in research recommendation writing.

4. Lack of Creativity and Intuition:

AI may struggle with tasks that require a deep understanding of the underlying principles or the ability to think outside the box.

How to tackle: Hybrid approaches can be employed by integrating AI in data analysis and identifying patterns for accelerating the data interpretation process.

5. Interpretability:

Many AI models, especially complex deep learning models, lack transparency on how the model arrived at a particular recommendation.

How to tackle: Implement models like decision trees or linear models. Provide clear explanation of the model architecture, training process, and decision-making criteria.

6. Dynamic Nature of Research:

Research fields are dynamic, and new information is constantly emerging. AI models may struggle to keep up with the rapidly changing landscape and may not be able to adapt to new developments.

How to tackle: Establish a feedback loop for continuous improvement. Regularly update the recommendation system based on user feedback and emerging research trends.

The integration of AI in research recommendation writing holds great promise for advancing knowledge and streamlining the research process. However, navigating these concerns is pivotal in ensuring the responsible deployment of these technologies. Researchers need to understand the use of responsible use of AI in research and must be aware of the ethical considerations.

Exploring research recommendations plays a critical role in shaping the trajectory of scientific inquiry. It serves as a compass, guiding researchers toward more robust methodologies, collaborative endeavors, and innovative approaches. Embracing these suggestions not only enhances the quality of individual studies but also contributes to the collective advancement of human understanding.

Frequently Asked Questions

The purpose of recommendations in research is to provide practical and actionable suggestions based on the study's findings, guiding future actions, policies, or interventions in a specific field or context. Recommendations bridges the gap between research outcomes and their real-world application.

To make a research recommendation, analyze your findings, identify key insights, and propose specific, evidence-based actions. Include the relevance of the recommendations to the study's objectives and provide practical steps for implementation.

Begin a recommendation by succinctly summarizing the key findings of the research. Clearly state the purpose of the recommendation and its intended impact. Use a direct and actionable language to convey the suggested course of action.

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Turn your research insights into actionable recommendations

At the end of one presentation, my colleague approached me and asked what I recommended based on the research. I was a bit puzzled. I didn’t expect anyone to ask me this kind of question. By that point in my career, I wasn’t aware that I had to make recommendations based on the research insights. I could talk about the next steps regarding what other research we had to conduct. I could also relay the information that something wasn’t working in a prototype, but I had no idea what to suggest. 

How to move from qualitative data to actionable insights

Over time, more and more colleagues asked for these recommendations. Finally, I realized that one of the key pieces I was missing in my reports was the “so what?” The prototype isn’t working, so what do we do next? Because I didn’t include suggestions, my colleagues had a difficult time marrying actions to my insights. Sure, the team could see the noticeable changes, but the next steps were a struggle, especially for generative research. 

Without these suggestions, my insights started to fall flat. My colleagues were excited about them and loved seeing the video clips, but they weren’t working with the findings. With this, I set out to experiment on how to write recommendations within a user research report. 

.css-1nrevy2{position:relative;display:inline-block;} How to write recommendations 

For a while, I wasn’t sure how to write recommendations. And, even now, I believe there is no  one right way . When I first started looking into this, I started with two main questions:

What do recommendations mean to stakeholders?

How prescriptive should recommendations be?

When people asked me for recommendations, I had no idea what they were looking for. I was nervous I would step on people’s toes and give the impression I thought I knew more than I did. I wasn’t a designer and didn’t want to make whacky design recommendations or impractical suggestions that would get developers rolling their eyes. 

When in doubt, I dusted off my internal research cap and sat with stakeholders to understand what they meant by recommendations. I asked them for examples of what they expected and what made a suggestion “helpful” or “actionable.” I walked away with a list of “must-haves” for my recommendations. They had to be:

Flexible. Just because I made an initial recommendation did not mean it was the only path forward. Once I presented the recommendations, we could talk through other ideas and consider new information. There were a few times when I revised my recommendations based on conversations I had with colleagues.

Feasible.  At first, I started presenting my recommendations without any prior feedback. My worst nightmare came true. The designer and developer sat back, arms crossed, and said, “A lot of this is impossible.” I quickly learned to review some of my recommendations I was uncertain about with them beforehand. Alternatively, I came up with several recommendations for one solution to help combat this problem.

Prioritized (to my best abilities).  Since I am not entirely sure of the recommendation’s effort, I use a chart of impact and reach to prioritize suggestions. Then, once I present this list, it may get reprioritized depending on effort levels from the team (hey, flexibility!).

Detailed.  This point helped me a lot with my second question regarding how in-depth I should make my recommendations. Some of the best detail comes from photos, videos, or screenshots, and colleagues appreciated when I linked recommendations with this media. They also told me to put in as much detail as possible to avoid vagueness, misinterpretation, and endless debate. 

Think MVP. Think about the solution with the fewest changes instead of recommending complex changes to a feature or product. What are some minor changes that the team can make to improve the experience or product?

Justified.  This part was the hardest for me. When my research findings didn’t align with expectations or business goals, I had no idea what to say. When I receive results that highlight we are going in the wrong direction, my recommendations become even more critical. Instead of telling the team that the new product or feature sucks and we should stop working on it, I offer alternatives. I follow the concept of “no, but...” So, “no, this isn’t working, but we found that users value X and Y, which could lead to increased retention” (or whatever metric we were looking at.

Let’s look at some examples

Although this list was beneficial in guiding my recommendations, I still wasn’t well-versed in how to write them. So, after some time, I created a formula for writing recommendations:

Observed problem/pain point/unmet need + consequence + potential solution

Evaluative research

Let’s imagine we are testing a check-out page, and we found that users were having a hard time filling out the shipping and billing forms, especially when there were two different addresses.

A non-specific and unhelpful recommendation might look like :

Users get frustrated when filling out the shipping and billing form.

The reasons this recommendation is not ideal are :

It provides no context or detail of the problem 

There is no proposed solution 

It sounds a bit judgemental (focus on the problem!) 

There is no immediate movement forward with this

A redesign recommendation about the same problem might look like this :

Users overlook the mandatory fields in the shipping and billing form, causing them to go back and fill out the form again. With this, they become frustrated. Include markers of required fields and avoid deleting information when users submit if they haven’t filled out all required fields.

Let’s take another example :

We tested an entirely new concept for our travel company, allowing people to pay to become “prime” travel members. In our user base, no one found any value in having or paying for a membership. However, they did find value in several of the features, such as sharing trips with family members or splitting costs but could not justify paying for them.

A suboptimal recommendation could look like this :

Users would not sign-up or pay for a prime membership.

Again, there is a considerable lack of context and understanding here, as well as action. Instead, we could try something like:

Users do not find enough value in the prime membership to sign-up or pay for it. Therefore, they do not see themselves using the feature. However, they did find value in two features: sharing trips with friends and splitting the trip costs. Focusing, instead, on these features could bring more people to our platform and increase retention. 

Generative research

Generative research can look a bit trickier because there isn’t always an inherent problem you are solving. For example, you might not be able to point to a usability issue, so you have to look more broadly at pain points or unmet needs. 

For example, in our generative research, we found that people often forget to buy gifts for loved ones, making them feel guilty and rushed at the last minute to find something meaningful but quickly.

This finding is extremely broad and could go in so many directions. With suggestions, we don’t necessarily want to lead our teams down only one path (flexibility!), but we also don’t want to leave the recommendation too vague (detailed). I use  How Might We statements  to help me build generative research recommendations. 

Just reporting the above wouldn’t entirely be enough for a recommendation, so let’s try to put it in a more actionable format:

People struggled to remember to buy gifts for loved one’s birthdays or special days. By the time their calendar notified them, it was too late to get a gift, leaving them filled with guilt and rushing to purchase a meaningful gift to arrive on time. How might we help people remember birthdays early enough to find meaningful gifts for their loved ones?

A great follow-up to generative research recommendations can be  running an ideation workshop !

Researching the right thing versus researching the thing right

How to format recommendations in your report.

I always end with recommendations because people leave a presentation with their minds buzzing and next steps top of mind (hopefully!). My favorite way to format suggestions is in a chart. That way, I can link the recommendation back to the insight and priority. My recommendations look like this:

Overall, play around with the recommendations that you give to your teams. The best thing you can do is ask for what they expect and then ask for feedback. By catering and iterating to your colleagues’ needs, you will help them make better decisions based on your research insights!

Written by Nikki Anderson, User Research Lead & Instructor. Nikki is a User Research Lead and Instructor with over eight years of experience. She has worked in all different sizes of companies, ranging from a tiny start-up called ALICE to large corporation Zalando, and also as a freelancer. During this time, she has led a diverse range of end-to-end research projects across the world, specializing in generative user research. Nikki also owns her own company, User Research Academy, a community and education platform designed to help people get into the field of user research, or learn more about how user research impacts their current role. User Research Academy hosts online classes, content, as well as personalized mentorship opportunities with Nikki. She is extremely passionate about teaching and supporting others throughout their journey in user research. To spread the word of research and help others transition and grow in the field, she writes as a writer at dscout and Dovetail. Outside of the world of user research, you can find Nikki (happily) surrounded by animals, including her dog and two cats, reading on her Kindle, playing old-school video games like Pokemon and World of Warcraft, and writing fiction novels.

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• Table of Contents

AI, Ethics & Human Agency

Collaboration, information literacy, writing process.

• Recommendation Reports
• © 2023 by Joseph M. Moxley - University of South Florida , Julie Staggers - Washington State University

Recommendation reports are texts that advise audiences about the best ways to solve a problem. Recommendation reports are a type of formal report that is widely used across disciplines and professions. Subject Matter Experts aim to make recommendations based on the best available theory, research and practice.

Different disciplines and professions have different research methods for assessing knowledge claims and defining knowledge . Thus, there is no one perfect way to write a recommendation report.

As always, when composing—especially when you’re planning your report—it’s strategic to focus on your audience, rhetorical analysis, and rhetorical reasoning. At center, keep the focus on what you want your audience to feel, think, and do.

While writers, speakers, and knowledge workers . . . may choose a variety of ways to organize their reports, below are some fairly traditional sections to formal recommendations reports:

• Letter of transmittal
• Problem Definition
• Potential solutions to the problem
• Empirical Research Methods used to investigate the problem
• Recommendations
• List of Illustrations

Report Body

Note: your specific rhetorical context will determine what headings you use in your Recommendation Report. That said, the following sections are fairly typical for this genre, and they are required, as appropriate, for this assignment.

Report back matter

Collect material for the appendices as you go. The report back matter will include:

• Bibliography, which is sometimes referred to as Works Cited or References (Use a citation format appropriate for your field (APA, MLA, Chicago, IEEE, etc.)
• Appendices, if necessary (e.g., letters of support, financial projections)

Formatting and design

Employ a professional writing style throughout, including:

• Page layout: Appropriate to audience, purpose, and context. 8.5 x 11 with 1-inch margins is a fail-safe default.
• Typography: Choose business-friendly fonts appropriate to your audience, purpose, and context; Arial for headers and Times New Roman for body text is a safe, neutral default.
• Headings and subheadings: Use a numbered heading and subheading system, formatted using the Styles function on your word processor.
• Bulleted and numbered lists: Use lists that are formatted correctly using the list buttons on your word processor with a blank line before the first bullet and after the last bullet
• Graphics and figures: Support data findings and arguments with appropriate visuals – charts, tables, graphics;  Include numbered titles and captions
• Page numbering: use lower-case Roman numerals for pages before the table of contents, Arabic numerals; no page number on the TOC.

Additional Resources

• Final Reports by Angela Eward-Mangione   and Katherine McGee
• Professional Writing Style

Brevity - Say More with Less

Clarity (in Speech and Writing)

Coherence - How to Achieve Coherence in Writing

Flow - How to Create Flow in Writing

Inclusivity - Inclusive Language

The Elements of Style - The DNA of Powerful Writing

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• v.333(7572); 2006 Oct 14

Health research

How to formulate research recommendations, polly brown.

1 BMJ Publishing Group, London WC1H 9JR

Klara Brunnhuber

Kalipso chalkidou.

2 National Institute for Health and Clinical Excellence, London WC1V 6NA

Iain Chalmers

3 Database of Uncertainties about the Effects of Treatments, James Lind Alliance Secretariat, James Lind Initiative, Oxford OX2 7LG

Mike Clarke

4 UK Cochrane Centre, Oxford OX2 7LG

Mark Fenton

Carol forbes.

5 Centre for Reviews and Dissemination, University of York, York YO10 5DD

Julie Glanville

Nicholas j hicks.

6 National Coordinating Centre for Health Technology Assessment, University of Southampton, Southampton SO16 7PX

Janet Moody

Sara twaddle.

7 Scottish Intercollegiate Guidelines Network, Edinburgh EH2 1EN

Hazim Timimi

8 Update Software, Oxford OX2 7LG

Pamela Young

Associated data, short abstract.

“More research is needed” is a conclusion that fits most systematic reviews. But authors need to be more specific about what exactly is required

Long awaited reports of new research, systematic reviews, and clinical guidelines are too often a disappointing anticlimax for those wishing to use them to direct future research. After many months or years of effort and intellectual energy put into these projects, authors miss the opportunity to identify unanswered questions and outstanding gaps in the evidence. Most reports contain only a less than helpful, general research recommendation. This means that the potential value of these recommendations is lost.

Current recommendations

In 2005, representatives of organisations commissioning and summarising research, including the BMJ Publishing Group, the Centre for Reviews and Dissemination, the National Coordinating Centre for Health Technology Assessment, the National Institute for Health and Clinical Excellence, the Scottish Intercollegiate Guidelines Network, and the UK Cochrane Centre, met as members of the development group for the Database of Uncertainties about the Effects of Treatments (see bmj.com for details on all participating organisations). Our aim was to discuss the state of research recommendations within our organisations and to develop guidelines for improving the presentation of proposals for further research. All organisations had found weaknesses in the way researchers and authors of systematic reviews and clinical guidelines stated the need for further research. As part of the project, a member of the Centre for Reviews and Dissemination under-took a rapid literature search to identify information on research recommendation models, which found some individual methods but no group initiatives to attempt to standardise recommendations.

Suggested format for research recommendations on the effects of treatments

Core elements

E Evidence (What is the current state of the evidence?)

P Population (What is the population of interest?)

I Intervention (What are the interventions of interest?)

C Comparison (What are the comparisons of interest?)

O Outcome (What are the outcomes of interest?)

T Time stamp (Date of recommendation)

Optional elements

d Disease burden or relevance

t Time aspect of core elements of EPICOT

s Appropriate study type according to local need

In January 2006, the National Coordinating Centre for Health Technology Assessment presented the findings of an initial comparative analysis of how different organisations currently structure their research recommendations. The National Institute for Health and Clinical Excellence and the National Coordinating Centre for Health Technology Assessment request authors to present recommendations in a four component format for formulating well built clinical questions around treatments: population, intervention, comparison, and outcomes (PICO). 1 In addition, the research recommendation is dated and authors are asked to provide the current state of the evidence to support the proposal.

Clinical Evidence , although not directly standardising its sections for research recommendations, presents gaps in the evidence using a slightly extended version of the PICO format: evidence, population, intervention, comparison, outcomes, and time (EPICOT). Clinical Evidence has used this inherent structure to feed research recommendations on interventions categorised as “unknown effectiveness” back to the National Coordinating Centre for Health Technology Assessment and for inclusion in the Database of Uncertainties about the Effects of Treatments ( www.duets.nhs.uk ).

We decided to propose the EPICOT format as the basis for its statement on formulating research recommendations and tested this proposal through discussion and example. We agreed that this set of components provided enough context for formulating research recommendations without limiting researchers. In order for the proposed framework to be flexible and more widely applicable, the group discussed using several optional components when they seemed relevant or were proposed by one or more of the group members. The final outcome of discussions resulted in the proposed EPICOT+ format (box).

A recent BMJ article highlighted how lack of research hinders the applicability of existing guidelines to patients in primary care who have had a stroke or transient ischaemic attack. 2 Most research in the area had been conducted in younger patients with a recent episode and in a hospital setting. The authors concluded that “further evidence should be collected on the efficacy and adverse effects of intensive blood pressure lowering in representative populations before we implement this guidance [from national and international guidelines] in primary care.” Table 1 outlines how their recommendations could be formulated using the EPICOT+ format. The decision on whether additional research is indeed clinically and ethically warranted will still lie with the organisation considering commissioning the research.

Research recommendation based on gap in the evidence identified by a cross sectional study of clinical guidelines for management of patients who have had a stroke

Table 2 shows the use of EPICOT+ for an unanswered question on the effectiveness of compliance therapy in people with schizophrenia, identified by the Database of Uncertainties about the Effects of Treatments.

Research recommendation based on a gap in the evidence on treatment of schizophrenia identified by the Database of Uncertainties about the Effects of Treatments

Discussions around optional elements

Although the group agreed that the PICO elements should be core requirements for a research recommendation, intense discussion centred on the inclusion of factors defining a more detailed context, such as current state of evidence (E), appropriate study type (s), disease burden and relevance (d), and timeliness (t).

Initially, group members interpreted E differently. Some viewed it as the supporting evidence for a research recommendation and others as the suggested study type for a research recommendation. After discussion, we agreed that E should be used to refer to the amount and quality of research supporting the recommendation. However, the issue remained contentious as some of us thought that if a systematic review was available, its reference would sufficiently identify the strength of the existing evidence. Others thought that adding evidence to the set of core elements was important as it provided a summary of the supporting evidence, particularly as the recommendation was likely to be abstracted and used separately from the review or research that led to its formulation. In contrast, the suggested study type (s) was left as an optional element.

A research recommendation will rarely have an absolute value in itself. Its relative priority will be influenced by the burden of ill health (d), which is itself dependent on factors such as local prevalence, disease severity, relevant risk factors, and the priorities of the organisation considering commissioning the research.

Similarly, the issue of time (t) could be seen to be relevant to each of the core elements in varying ways—for example, duration of treatment, length of follow-up. The group therefore agreed that time had a subsidiary role within each core item; however, T as the date of the recommendation served to define its shelf life and therefore retained individual importance.

Applicability and usability

The proposed statement on research recommendations applies to uncertainties of the effects of any form of health intervention or treatment and is intended for research in humans rather than basic scientific research. Further investigation is required to assess the applicability of the format for questions around diagnosis, signs and symptoms, prognosis, investigations, and patient preference.

When the proposed format is applied to a specific research recommendation, the emphasis placed on the relevant part(s) of the EPICOT+ format may vary by author, audience, and intended purpose. For example, a recommendation for research into treatments for transient ischaemic attack may or may not define valid outcome measures to assess quality of life or gather data on adverse effects. Among many other factors, its implementation will also depend on the strength of current findings—that is, strong evidence may support a tightly focused recommendation whereas a lack of evidence would result in a more general recommendation.

The controversy within the group, especially around the optional components, reflects the different perspectives of the participating organisations—whether they were involved in commissioning, undertaking, or summarising research. Further issues will arise during the implementation of the proposed format, and we welcome feedback and discussion.

Summary points

No common guidelines exist for the formulation of recommendations for research on the effects of treatments

Major organisations involved in commissioning or summarising research compared their approaches and agreed on core questions

The essential items can be summarised as EPICOT+ (evidence, population, intervention, comparison, outcome, and time)

Further details, such as disease burden and appropriate study type, should be considered as required

Supplementary Material

We thank Patricia Atkinson and Jeremy Wyatt.

Contributors and sources: All authors contributed to manuscript preparation and approved the final draft. NJH is the guarantor.

Competing interests: None declared.

How to write recommendations in a research paper

Many students put in a lot of effort and write a good report however they are not able to give proper recommendations. Recommendations in the research paper should be included in your research. As a researcher, you display a deep understanding of the topic of research. Therefore you should be able to give recommendations. Here are a few tips that will help you to give appropriate recommendations. 

Recommendations in the research paper should be the objective of the research. Therefore at least one of your objectives of the paper is to provide recommendations to the parties associated or the parties that will benefit from your research. For example, to encourage higher employee engagement HR department should make strategies that invest in the well-being of employees. Additionally, the HR department should also collect regular feedback through online surveys.

Recommendations in the research paper should come from your review and analysis For example It was observed that coaches interviewed were associated with the club were working with the club from the past 2-3 years only. This shows that the attrition rate of coaches is high and therefore clubs should work on reducing the turnover of coaches.

Recommendations in the research paper should also come from the data you have analysed. For example, the research found that people over 65 years of age are at greater risk of social isolation. Therefore, it is recommended that policies that are made for combating social isolation should target this specific group.

Recommendations in the research paper should also come from observation. For example, it is observed that Lenovo’s income is stable and gross revenue has displayed a negative turn. Therefore the company should analyse its marketing and branding strategy.

Recommendations in the research paper should be written in the order of priority. The most important recommendations for decision-makers should come first. However, if the recommendations are of equal importance then it should come in the sequence in which the topic is approached in the research. 

Recommendations in a research paper if associated with different categories then you should categorize them. For example, you have separate recommendations for policymakers, educators, and administrators then you can categorize the recommendations. 

Recommendations in the research paper should come purely from your research. For example, you have written research on the impact on HR strategies on motivation. However, nowhere you have discussed Reward and recognition. Then you should not give recommendations for using rewards and recognition measures to boost employee motivation.

The use of bullet points offers better clarity rather than using long paragraphs. For example this paragraph “ It is recommended  that Britannia Biscuit should launch and promote sugar-free options apart from the existing product range. Promotion efforts should be directed at creating a fresh and healthy image. A campaign that conveys a sense of health and vitality to the consumer while enjoying biscuit  is recommended” can be written as:

• The company should launch and promote sugar-free options
• The company should work towards creating s fresh and healthy image
• The company should run a campaign to convey its healthy image

The inclusion of an action plan along with recommendation adds more weightage to your recommendation. Recommendations should be clear and conscience and written using actionable words. Recommendations should display a solution-oriented approach and in some cases should highlight the scope for further research. 

Implications or Recommendations in Research: What's the Difference?

• Peer Review

High-quality research articles that get many citations contain both implications and recommendations. Implications are the impact your research makes, whereas recommendations are specific actions that can then be taken based on your findings, such as for more research or for policymaking.

Updated on August 23, 2022

That seems clear enough, but the two are commonly confused.

This confusion is especially true if you come from a so-called high-context culture in which information is often implied based on the situation, as in many Asian cultures. High-context cultures are different from low-context cultures where information is more direct and explicit (as in North America and many European cultures).

Let's set these two straight in a low-context way; i.e., we'll be specific and direct! This is the best way to be in English academic writing because you're writing for the world.

Implications and recommendations in a research article

The standard format of STEM research articles is what's called IMRaD:

• Introduction
• Discussion/conclusions

Some journals call for a separate conclusions section, while others have the conclusions as the last part of the discussion. You'll write these four (or five) sections in the same sequence, though, no matter the journal.

The discussion section is typically where you restate your results and how well they confirmed your hypotheses. Give readers the answer to the questions for which they're looking to you for an answer.

At this point, many researchers assume their paper is finished. After all, aren't the results the most important part? As you might have guessed, no, you're not quite done yet.

The discussion/conclusions section is where to say what happened and what should now happen

The discussion/conclusions section of every good scientific article should contain the implications and recommendations.

The implications, first of all, are the impact your results have on your specific field. A high-impact, highly cited article will also broaden the scope here and provide implications to other fields. This is what makes research cross-disciplinary.

Recommendations, however, are suggestions to improve your field based on your results.

These two aspects help the reader understand your broader content: How and why your work is important to the world. They also tell the reader what can be changed in the future based on your results.

These aspects are what editors are looking for when selecting papers for peer review.

Implications and recommendations are, thus, written at the end of the discussion section, and before the concluding paragraph. They help to “wrap up” your paper. Once your reader understands what you found, the next logical step is what those results mean and what should come next.

Then they can take the baton, in the form of your work, and run with it. That gets you cited and extends your impact!

The order of implications and recommendations also matters. Both are written after you've summarized your main findings in the discussion section. Then, those results are interpreted based on ongoing work in the field. After this, the implications are stated, followed by the recommendations.

Writing an academic research paper is a bit like running a race. Finish strong, with your most important conclusion (recommendation) at the end. Leave readers with an understanding of your work's importance. Avoid generic, obvious phrases like "more research is needed to fully address this issue." Be specific.

The main differences between implications and recommendations (table)

Now let's dig a bit deeper into actually how to write these parts.

What are implications?

Research implications tell us how and why your results are important for the field at large. They help answer the question of “what does it mean?” Implications tell us how your work contributes to your field and what it adds to it. They're used when you want to tell your peers why your research is important for ongoing theory, practice, policymaking, and for future research.

Crucially, your implications must be evidence-based. This means they must be derived from the results in the paper.

Implications are written after you've summarized your main findings in the discussion section. They come before the recommendations and before the concluding paragraph. There is no specific section dedicated to implications. They must be integrated into your discussion so that the reader understands why the results are meaningful and what they add to the field.

A good strategy is to separate your implications into types. Implications can be social, political, technological, related to policies, or others, depending on your topic. The most frequently used types are theoretical and practical. Theoretical implications relate to how your findings connect to other theories or ideas in your field, while practical implications are related to what we can do with the results.

Key features of implications

• State the impact your research makes
• Helps us understand why your results are important
• Must be evidence-based
• Written in the discussion, before recommendations
• Can be theoretical, practical, or other (social, political, etc.)

Examples of implications

Let's take a look at some examples of research results below with their implications.

The result : one study found that learning items over time improves memory more than cramming material in a bunch of information at once .

The implications : This result suggests memory is better when studying is spread out over time, which could be due to memory consolidation processes.

The result : an intervention study found that mindfulness helps improve mental health if you have anxiety.

The implications : This result has implications for the role of executive functions on anxiety.

The result : a study found that musical learning helps language learning in children .

The implications : these findings suggest that language and music may work together to aid development.

What are recommendations?

As noted above, explaining how your results contribute to the real world is an important part of a successful article.

Likewise, stating how your findings can be used to improve something in future research is equally important. This brings us to the recommendations.

Research recommendations are suggestions and solutions you give for certain situations based on your results. Once the reader understands what your results mean with the implications, the next question they need to know is "what's next?"

Recommendations are calls to action on ways certain things in the field can be improved in the future based on your results. Recommendations are used when you want to convey that something different should be done based on what your analyses revealed.

Similar to implications, recommendations are also evidence-based. This means that your recommendations to the field must be drawn directly from your results.

The goal of the recommendations is to make clear, specific, and realistic suggestions to future researchers before they conduct a similar experiment. No matter what area your research is in, there will always be further research to do. Try to think about what would be helpful for other researchers to know before starting their work.

Recommendations are also written in the discussion section. They come after the implications and before the concluding paragraphs. Similar to the implications, there is usually no specific section dedicated to the recommendations. However, depending on how many solutions you want to suggest to the field, they may be written as a subsection.

Key features of recommendations

• Statements about what can be done differently in the field based on your findings
• Must be realistic and specific
• Written in the discussion, after implications and before conclusions
• Related to both your field and, preferably, a wider context to the research

Examples of recommendations

Here are some research results and their recommendations.

A meta-analysis found that actively recalling material from your memory is better than simply re-reading it .

• The recommendation: Based on these findings, teachers and other educators should encourage students to practice active recall strategies.

A medical intervention found that daily exercise helps prevent cardiovascular disease .

• The recommendation: Based on these results, physicians are recommended to encourage patients to exercise and walk regularly. Also recommended is to encourage more walking through public health offices in communities.

A study found that many research articles do not contain the sample sizes needed to statistically confirm their findings .

The recommendation: To improve the current state of the field, researchers should consider doing power analysis based on their experiment's design.

What else is important about implications and recommendations?

When writing recommendations and implications, be careful not to overstate the impact of your results. It can be tempting for researchers to inflate the importance of their findings and make grandiose statements about what their work means.

Remember that implications and recommendations must be coming directly from your results. Therefore, they must be straightforward, realistic, and plausible.

Another good thing to remember is to make sure the implications and recommendations are stated clearly and separately. Do not attach them to the endings of other paragraphs just to add them in. Use similar example phrases as those listed in the table when starting your sentences to clearly indicate when it's an implication and when it's a recommendation.

When your peers, or brand-new readers, read your paper, they shouldn't have to hunt through your discussion to find the implications and recommendations. They should be clear, visible, and understandable on their own.

That'll get you cited more, and you'll make a greater contribution to your area of science while extending the life and impact of your work.

The AJE Team

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Scientific Reports

What this handout is about.

This handout provides a general guide to writing reports about scientific research you’ve performed. In addition to describing the conventional rules about the format and content of a lab report, we’ll also attempt to convey why these rules exist, so you’ll get a clearer, more dependable idea of how to approach this writing situation. Readers of this handout may also find our handout on writing in the sciences useful.

Background and pre-writing

Why do we write research reports.

You did an experiment or study for your science class, and now you have to write it up for your teacher to review. You feel that you understood the background sufficiently, designed and completed the study effectively, obtained useful data, and can use those data to draw conclusions about a scientific process or principle. But how exactly do you write all that? What is your teacher expecting to see?

To take some of the guesswork out of answering these questions, try to think beyond the classroom setting. In fact, you and your teacher are both part of a scientific community, and the people who participate in this community tend to share the same values. As long as you understand and respect these values, your writing will likely meet the expectations of your audience—including your teacher.

So why are you writing this research report? The practical answer is “Because the teacher assigned it,” but that’s classroom thinking. Generally speaking, people investigating some scientific hypothesis have a responsibility to the rest of the scientific world to report their findings, particularly if these findings add to or contradict previous ideas. The people reading such reports have two primary goals:

• They want to gather the information presented.
• They want to know that the findings are legitimate.

Your job as a writer, then, is to fulfill these two goals.

How do I do that?

Good question. Here is the basic format scientists have designed for research reports:

• Introduction

Methods and Materials

This format, sometimes called “IMRAD,” may take slightly different shapes depending on the discipline or audience; some ask you to include an abstract or separate section for the hypothesis, or call the Discussion section “Conclusions,” or change the order of the sections (some professional and academic journals require the Methods section to appear last). Overall, however, the IMRAD format was devised to represent a textual version of the scientific method.

The scientific method, you’ll probably recall, involves developing a hypothesis, testing it, and deciding whether your findings support the hypothesis. In essence, the format for a research report in the sciences mirrors the scientific method but fleshes out the process a little. Below, you’ll find a table that shows how each written section fits into the scientific method and what additional information it offers the reader.

Thinking of your research report as based on the scientific method, but elaborated in the ways described above, may help you to meet your audience’s expectations successfully. We’re going to proceed by explicitly connecting each section of the lab report to the scientific method, then explaining why and how you need to elaborate that section.

Although this handout takes each section in the order in which it should be presented in the final report, you may for practical reasons decide to compose sections in another order. For example, many writers find that composing their Methods and Results before the other sections helps to clarify their idea of the experiment or study as a whole. You might consider using each assignment to practice different approaches to drafting the report, to find the order that works best for you.

What should I do before drafting the lab report?

The best way to prepare to write the lab report is to make sure that you fully understand everything you need to about the experiment. Obviously, if you don’t quite know what went on during the lab, you’re going to find it difficult to explain the lab satisfactorily to someone else. To make sure you know enough to write the report, complete the following steps:

• What are we going to do in this lab? (That is, what’s the procedure?)
• Why are we going to do it that way?
• What are we hoping to learn from this experiment?
• Why would we benefit from this knowledge?
• Consult your lab supervisor as you perform the lab. If you don’t know how to answer one of the questions above, for example, your lab supervisor will probably be able to explain it to you (or, at least, help you figure it out).
• Plan the steps of the experiment carefully with your lab partners. The less you rush, the more likely it is that you’ll perform the experiment correctly and record your findings accurately. Also, take some time to think about the best way to organize the data before you have to start putting numbers down. If you can design a table to account for the data, that will tend to work much better than jotting results down hurriedly on a scrap piece of paper.
• Record the data carefully so you get them right. You won’t be able to trust your conclusions if you have the wrong data, and your readers will know you messed up if the other three people in your group have “97 degrees” and you have “87.”
• Consult with your lab partners about everything you do. Lab groups often make one of two mistakes: two people do all the work while two have a nice chat, or everybody works together until the group finishes gathering the raw data, then scrams outta there. Collaborate with your partners, even when the experiment is “over.” What trends did you observe? Was the hypothesis supported? Did you all get the same results? What kind of figure should you use to represent your findings? The whole group can work together to answer these questions.
• Consider your audience. You may believe that audience is a non-issue: it’s your lab TA, right? Well, yes—but again, think beyond the classroom. If you write with only your lab instructor in mind, you may omit material that is crucial to a complete understanding of your experiment, because you assume the instructor knows all that stuff already. As a result, you may receive a lower grade, since your TA won’t be sure that you understand all the principles at work. Try to write towards a student in the same course but a different lab section. That student will have a fair degree of scientific expertise but won’t know much about your experiment particularly. Alternatively, you could envision yourself five years from now, after the reading and lectures for this course have faded a bit. What would you remember, and what would you need explained more clearly (as a refresher)?

Once you’ve completed these steps as you perform the experiment, you’ll be in a good position to draft an effective lab report.

Introductions

How do i write a strong introduction.

For the purposes of this handout, we’ll consider the Introduction to contain four basic elements: the purpose, the scientific literature relevant to the subject, the hypothesis, and the reasons you believed your hypothesis viable. Let’s start by going through each element of the Introduction to clarify what it covers and why it’s important. Then we can formulate a logical organizational strategy for the section.

The inclusion of the purpose (sometimes called the objective) of the experiment often confuses writers. The biggest misconception is that the purpose is the same as the hypothesis. Not quite. We’ll get to hypotheses in a minute, but basically they provide some indication of what you expect the experiment to show. The purpose is broader, and deals more with what you expect to gain through the experiment. In a professional setting, the hypothesis might have something to do with how cells react to a certain kind of genetic manipulation, but the purpose of the experiment is to learn more about potential cancer treatments. Undergraduate reports don’t often have this wide-ranging a goal, but you should still try to maintain the distinction between your hypothesis and your purpose. In a solubility experiment, for example, your hypothesis might talk about the relationship between temperature and the rate of solubility, but the purpose is probably to learn more about some specific scientific principle underlying the process of solubility.

For starters, most people say that you should write out your working hypothesis before you perform the experiment or study. Many beginning science students neglect to do so and find themselves struggling to remember precisely which variables were involved in the process or in what way the researchers felt that they were related. Write your hypothesis down as you develop it—you’ll be glad you did.

As for the form a hypothesis should take, it’s best not to be too fancy or complicated; an inventive style isn’t nearly so important as clarity here. There’s nothing wrong with beginning your hypothesis with the phrase, “It was hypothesized that . . .” Be as specific as you can about the relationship between the different objects of your study. In other words, explain that when term A changes, term B changes in this particular way. Readers of scientific writing are rarely content with the idea that a relationship between two terms exists—they want to know what that relationship entails.

Not a hypothesis:

“It was hypothesized that there is a significant relationship between the temperature of a solvent and the rate at which a solute dissolves.”

Hypothesis:

“It was hypothesized that as the temperature of a solvent increases, the rate at which a solute will dissolve in that solvent increases.”

Put more technically, most hypotheses contain both an independent and a dependent variable. The independent variable is what you manipulate to test the reaction; the dependent variable is what changes as a result of your manipulation. In the example above, the independent variable is the temperature of the solvent, and the dependent variable is the rate of solubility. Be sure that your hypothesis includes both variables.

Justify your hypothesis

You need to do more than tell your readers what your hypothesis is; you also need to assure them that this hypothesis was reasonable, given the circumstances. In other words, use the Introduction to explain that you didn’t just pluck your hypothesis out of thin air. (If you did pluck it out of thin air, your problems with your report will probably extend beyond using the appropriate format.) If you posit that a particular relationship exists between the independent and the dependent variable, what led you to believe your “guess” might be supported by evidence?

Scientists often refer to this type of justification as “motivating” the hypothesis, in the sense that something propelled them to make that prediction. Often, motivation includes what we already know—or rather, what scientists generally accept as true (see “Background/previous research” below). But you can also motivate your hypothesis by relying on logic or on your own observations. If you’re trying to decide which solutes will dissolve more rapidly in a solvent at increased temperatures, you might remember that some solids are meant to dissolve in hot water (e.g., bouillon cubes) and some are used for a function precisely because they withstand higher temperatures (they make saucepans out of something). Or you can think about whether you’ve noticed sugar dissolving more rapidly in your glass of iced tea or in your cup of coffee. Even such basic, outside-the-lab observations can help you justify your hypothesis as reasonable.

Background/previous research

This part of the Introduction demonstrates to the reader your awareness of how you’re building on other scientists’ work. If you think of the scientific community as engaging in a series of conversations about various topics, then you’ll recognize that the relevant background material will alert the reader to which conversation you want to enter.

Generally speaking, authors writing journal articles use the background for slightly different purposes than do students completing assignments. Because readers of academic journals tend to be professionals in the field, authors explain the background in order to permit readers to evaluate the study’s pertinence for their own work. You, on the other hand, write toward a much narrower audience—your peers in the course or your lab instructor—and so you must demonstrate that you understand the context for the (presumably assigned) experiment or study you’ve completed. For example, if your professor has been talking about polarity during lectures, and you’re doing a solubility experiment, you might try to connect the polarity of a solid to its relative solubility in certain solvents. In any event, both professional researchers and undergraduates need to connect the background material overtly to their own work.

Organization of this section

Most of the time, writers begin by stating the purpose or objectives of their own work, which establishes for the reader’s benefit the “nature and scope of the problem investigated” (Day 1994). Once you have expressed your purpose, you should then find it easier to move from the general purpose, to relevant material on the subject, to your hypothesis. In abbreviated form, an Introduction section might look like this:

“The purpose of the experiment was to test conventional ideas about solubility in the laboratory [purpose] . . . According to Whitecoat and Labrat (1999), at higher temperatures the molecules of solvents move more quickly . . . We know from the class lecture that molecules moving at higher rates of speed collide with one another more often and thus break down more easily [background material/motivation] . . . Thus, it was hypothesized that as the temperature of a solvent increases, the rate at which a solute will dissolve in that solvent increases [hypothesis].”

Again—these are guidelines, not commandments. Some writers and readers prefer different structures for the Introduction. The one above merely illustrates a common approach to organizing material.

How do I write a strong Materials and Methods section?

As with any piece of writing, your Methods section will succeed only if it fulfills its readers’ expectations, so you need to be clear in your own mind about the purpose of this section. Let’s review the purpose as we described it above: in this section, you want to describe in detail how you tested the hypothesis you developed and also to clarify the rationale for your procedure. In science, it’s not sufficient merely to design and carry out an experiment. Ultimately, others must be able to verify your findings, so your experiment must be reproducible, to the extent that other researchers can follow the same procedure and obtain the same (or similar) results.

Here’s a real-world example of the importance of reproducibility. In 1989, physicists Stanley Pons and Martin Fleischman announced that they had discovered “cold fusion,” a way of producing excess heat and power without the nuclear radiation that accompanies “hot fusion.” Such a discovery could have great ramifications for the industrial production of energy, so these findings created a great deal of interest. When other scientists tried to duplicate the experiment, however, they didn’t achieve the same results, and as a result many wrote off the conclusions as unjustified (or worse, a hoax). To this day, the viability of cold fusion is debated within the scientific community, even though an increasing number of researchers believe it possible. So when you write your Methods section, keep in mind that you need to describe your experiment well enough to allow others to replicate it exactly.

With these goals in mind, let’s consider how to write an effective Methods section in terms of content, structure, and style.

Sometimes the hardest thing about writing this section isn’t what you should talk about, but what you shouldn’t talk about. Writers often want to include the results of their experiment, because they measured and recorded the results during the course of the experiment. But such data should be reserved for the Results section. In the Methods section, you can write that you recorded the results, or how you recorded the results (e.g., in a table), but you shouldn’t write what the results were—not yet. Here, you’re merely stating exactly how you went about testing your hypothesis. As you draft your Methods section, ask yourself the following questions:

• How much detail? Be precise in providing details, but stay relevant. Ask yourself, “Would it make any difference if this piece were a different size or made from a different material?” If not, you probably don’t need to get too specific. If so, you should give as many details as necessary to prevent this experiment from going awry if someone else tries to carry it out. Probably the most crucial detail is measurement; you should always quantify anything you can, such as time elapsed, temperature, mass, volume, etc.
• Rationale: Be sure that as you’re relating your actions during the experiment, you explain your rationale for the protocol you developed. If you capped a test tube immediately after adding a solute to a solvent, why did you do that? (That’s really two questions: why did you cap it, and why did you cap it immediately?) In a professional setting, writers provide their rationale as a way to explain their thinking to potential critics. On one hand, of course, that’s your motivation for talking about protocol, too. On the other hand, since in practical terms you’re also writing to your teacher (who’s seeking to evaluate how well you comprehend the principles of the experiment), explaining the rationale indicates that you understand the reasons for conducting the experiment in that way, and that you’re not just following orders. Critical thinking is crucial—robots don’t make good scientists.
• Control: Most experiments will include a control, which is a means of comparing experimental results. (Sometimes you’ll need to have more than one control, depending on the number of hypotheses you want to test.) The control is exactly the same as the other items you’re testing, except that you don’t manipulate the independent variable-the condition you’re altering to check the effect on the dependent variable. For example, if you’re testing solubility rates at increased temperatures, your control would be a solution that you didn’t heat at all; that way, you’ll see how quickly the solute dissolves “naturally” (i.e., without manipulation), and you’ll have a point of reference against which to compare the solutions you did heat.

Describe the control in the Methods section. Two things are especially important in writing about the control: identify the control as a control, and explain what you’re controlling for. Here is an example:

“As a control for the temperature change, we placed the same amount of solute in the same amount of solvent, and let the solution stand for five minutes without heating it.”

Structure and style

Organization is especially important in the Methods section of a lab report because readers must understand your experimental procedure completely. Many writers are surprised by the difficulty of conveying what they did during the experiment, since after all they’re only reporting an event, but it’s often tricky to present this information in a coherent way. There’s a fairly standard structure you can use to guide you, and following the conventions for style can help clarify your points.

• Subsections: Occasionally, researchers use subsections to report their procedure when the following circumstances apply: 1) if they’ve used a great many materials; 2) if the procedure is unusually complicated; 3) if they’ve developed a procedure that won’t be familiar to many of their readers. Because these conditions rarely apply to the experiments you’ll perform in class, most undergraduate lab reports won’t require you to use subsections. In fact, many guides to writing lab reports suggest that you try to limit your Methods section to a single paragraph.
• Narrative structure: Think of this section as telling a story about a group of people and the experiment they performed. Describe what you did in the order in which you did it. You may have heard the old joke centered on the line, “Disconnect the red wire, but only after disconnecting the green wire,” where the person reading the directions blows everything to kingdom come because the directions weren’t in order. We’re used to reading about events chronologically, and so your readers will generally understand what you did if you present that information in the same way. Also, since the Methods section does generally appear as a narrative (story), you want to avoid the “recipe” approach: “First, take a clean, dry 100 ml test tube from the rack. Next, add 50 ml of distilled water.” You should be reporting what did happen, not telling the reader how to perform the experiment: “50 ml of distilled water was poured into a clean, dry 100 ml test tube.” Hint: most of the time, the recipe approach comes from copying down the steps of the procedure from your lab manual, so you may want to draft the Methods section initially without consulting your manual. Later, of course, you can go back and fill in any part of the procedure you inadvertently overlooked.
• Past tense: Remember that you’re describing what happened, so you should use past tense to refer to everything you did during the experiment. Writers are often tempted to use the imperative (“Add 5 g of the solid to the solution”) because that’s how their lab manuals are worded; less frequently, they use present tense (“5 g of the solid are added to the solution”). Instead, remember that you’re talking about an event which happened at a particular time in the past, and which has already ended by the time you start writing, so simple past tense will be appropriate in this section (“5 g of the solid were added to the solution” or “We added 5 g of the solid to the solution”).
• Active: We heated the solution to 80°C. (The subject, “we,” performs the action, heating.)
• Passive: The solution was heated to 80°C. (The subject, “solution,” doesn’t do the heating–it is acted upon, not acting.)

Increasingly, especially in the social sciences, using first person and active voice is acceptable in scientific reports. Most readers find that this style of writing conveys information more clearly and concisely. This rhetorical choice thus brings two scientific values into conflict: objectivity versus clarity. Since the scientific community hasn’t reached a consensus about which style it prefers, you may want to ask your lab instructor.

How do I write a strong Results section?

Here’s a paradox for you. The Results section is often both the shortest (yay!) and most important (uh-oh!) part of your report. Your Materials and Methods section shows how you obtained the results, and your Discussion section explores the significance of the results, so clearly the Results section forms the backbone of the lab report. This section provides the most critical information about your experiment: the data that allow you to discuss how your hypothesis was or wasn’t supported. But it doesn’t provide anything else, which explains why this section is generally shorter than the others.

Before you write this section, look at all the data you collected to figure out what relates significantly to your hypothesis. You’ll want to highlight this material in your Results section. Resist the urge to include every bit of data you collected, since perhaps not all are relevant. Also, don’t try to draw conclusions about the results—save them for the Discussion section. In this section, you’re reporting facts. Nothing your readers can dispute should appear in the Results section.

Most Results sections feature three distinct parts: text, tables, and figures. Let’s consider each part one at a time.

This should be a short paragraph, generally just a few lines, that describes the results you obtained from your experiment. In a relatively simple experiment, one that doesn’t produce a lot of data for you to repeat, the text can represent the entire Results section. Don’t feel that you need to include lots of extraneous detail to compensate for a short (but effective) text; your readers appreciate discrimination more than your ability to recite facts. In a more complex experiment, you may want to use tables and/or figures to help guide your readers toward the most important information you gathered. In that event, you’ll need to refer to each table or figure directly, where appropriate:

“Table 1 lists the rates of solubility for each substance”

“Solubility increased as the temperature of the solution increased (see Figure 1).”

If you do use tables or figures, make sure that you don’t present the same material in both the text and the tables/figures, since in essence you’ll just repeat yourself, probably annoying your readers with the redundancy of your statements.

Feel free to describe trends that emerge as you examine the data. Although identifying trends requires some judgment on your part and so may not feel like factual reporting, no one can deny that these trends do exist, and so they properly belong in the Results section. Example:

“Heating the solution increased the rate of solubility of polar solids by 45% but had no effect on the rate of solubility in solutions containing non-polar solids.”

This point isn’t debatable—you’re just pointing out what the data show.

As in the Materials and Methods section, you want to refer to your data in the past tense, because the events you recorded have already occurred and have finished occurring. In the example above, note the use of “increased” and “had,” rather than “increases” and “has.” (You don’t know from your experiment that heating always increases the solubility of polar solids, but it did that time.)

You shouldn’t put information in the table that also appears in the text. You also shouldn’t use a table to present irrelevant data, just to show you did collect these data during the experiment. Tables are good for some purposes and situations, but not others, so whether and how you’ll use tables depends upon what you need them to accomplish.

Tables are useful ways to show variation in data, but not to present a great deal of unchanging measurements. If you’re dealing with a scientific phenomenon that occurs only within a certain range of temperatures, for example, you don’t need to use a table to show that the phenomenon didn’t occur at any of the other temperatures. How useful is this table?

As you can probably see, no solubility was observed until the trial temperature reached 50°C, a fact that the text part of the Results section could easily convey. The table could then be limited to what happened at 50°C and higher, thus better illustrating the differences in solubility rates when solubility did occur.

As a rule, try not to use a table to describe any experimental event you can cover in one sentence of text. Here’s an example of an unnecessary table from How to Write and Publish a Scientific Paper , by Robert A. Day:

As Day notes, all the information in this table can be summarized in one sentence: “S. griseus, S. coelicolor, S. everycolor, and S. rainbowenski grew under aerobic conditions, whereas S. nocolor and S. greenicus required anaerobic conditions.” Most readers won’t find the table clearer than that one sentence.

When you do have reason to tabulate material, pay attention to the clarity and readability of the format you use. Here are a few tips:

• Number your table. Then, when you refer to the table in the text, use that number to tell your readers which table they can review to clarify the material.
• Give your table a title. This title should be descriptive enough to communicate the contents of the table, but not so long that it becomes difficult to follow. The titles in the sample tables above are acceptable.
• Arrange your table so that readers read vertically, not horizontally. For the most part, this rule means that you should construct your table so that like elements read down, not across. Think about what you want your readers to compare, and put that information in the column (up and down) rather than in the row (across). Usually, the point of comparison will be the numerical data you collect, so especially make sure you have columns of numbers, not rows.Here’s an example of how drastically this decision affects the readability of your table (from A Short Guide to Writing about Chemistry , by Herbert Beall and John Trimbur). Look at this table, which presents the relevant data in horizontal rows:

It’s a little tough to see the trends that the author presumably wants to present in this table. Compare this table, in which the data appear vertically:

The second table shows how putting like elements in a vertical column makes for easier reading. In this case, the like elements are the measurements of length and height, over five trials–not, as in the first table, the length and height measurements for each trial.

• Make sure to include units of measurement in the tables. Readers might be able to guess that you measured something in millimeters, but don’t make them try.
• Don’t use vertical lines as part of the format for your table. This convention exists because journals prefer not to have to reproduce these lines because the tables then become more expensive to print. Even though it’s fairly unlikely that you’ll be sending your Biology 11 lab report to Science for publication, your readers still have this expectation. Consequently, if you use the table-drawing option in your word-processing software, choose the option that doesn’t rely on a “grid” format (which includes vertical lines).

How do I include figures in my report?

Although tables can be useful ways of showing trends in the results you obtained, figures (i.e., illustrations) can do an even better job of emphasizing such trends. Lab report writers often use graphic representations of the data they collected to provide their readers with a literal picture of how the experiment went.

When should you use a figure?

Remember the circumstances under which you don’t need a table: when you don’t have a great deal of data or when the data you have don’t vary a lot. Under the same conditions, you would probably forgo the figure as well, since the figure would be unlikely to provide your readers with an additional perspective. Scientists really don’t like their time wasted, so they tend not to respond favorably to redundancy.

If you’re trying to decide between using a table and creating a figure to present your material, consider the following a rule of thumb. The strength of a table lies in its ability to supply large amounts of exact data, whereas the strength of a figure is its dramatic illustration of important trends within the experiment. If you feel that your readers won’t get the full impact of the results you obtained just by looking at the numbers, then a figure might be appropriate.

Of course, an undergraduate class may expect you to create a figure for your lab experiment, if only to make sure that you can do so effectively. If this is the case, then don’t worry about whether to use figures or not—concentrate instead on how best to accomplish your task.

Figures can include maps, photographs, pen-and-ink drawings, flow charts, bar graphs, and section graphs (“pie charts”). But the most common figure by far, especially for undergraduates, is the line graph, so we’ll focus on that type in this handout.

At the undergraduate level, you can often draw and label your graphs by hand, provided that the result is clear, legible, and drawn to scale. Computer technology has, however, made creating line graphs a lot easier. Most word-processing software has a number of functions for transferring data into graph form; many scientists have found Microsoft Excel, for example, a helpful tool in graphing results. If you plan on pursuing a career in the sciences, it may be well worth your while to learn to use a similar program.

Computers can’t, however, decide for you how your graph really works; you have to know how to design your graph to meet your readers’ expectations. Here are some of these expectations:

• Keep it as simple as possible. You may be tempted to signal the complexity of the information you gathered by trying to design a graph that accounts for that complexity. But remember the purpose of your graph: to dramatize your results in a manner that’s easy to see and grasp. Try not to make the reader stare at the graph for a half hour to find the important line among the mass of other lines. For maximum effectiveness, limit yourself to three to five lines per graph; if you have more data to demonstrate, use a set of graphs to account for it, rather than trying to cram it all into a single figure.
• Plot the independent variable on the horizontal (x) axis and the dependent variable on the vertical (y) axis. Remember that the independent variable is the condition that you manipulated during the experiment and the dependent variable is the condition that you measured to see if it changed along with the independent variable. Placing the variables along their respective axes is mostly just a convention, but since your readers are accustomed to viewing graphs in this way, you’re better off not challenging the convention in your report.
• Label each axis carefully, and be especially careful to include units of measure. You need to make sure that your readers understand perfectly well what your graph indicates.
• Number and title your graphs. As with tables, the title of the graph should be informative but concise, and you should refer to your graph by number in the text (e.g., “Figure 1 shows the increase in the solubility rate as a function of temperature”).
• Many editors of professional scientific journals prefer that writers distinguish the lines in their graphs by attaching a symbol to them, usually a geometric shape (triangle, square, etc.), and using that symbol throughout the curve of the line. Generally, readers have a hard time distinguishing dotted lines from dot-dash lines from straight lines, so you should consider staying away from this system. Editors don’t usually like different-colored lines within a graph because colors are difficult and expensive to reproduce; colors may, however, be great for your purposes, as long as you’re not planning to submit your paper to Nature. Use your discretion—try to employ whichever technique dramatizes the results most effectively.
• Try to gather data at regular intervals, so the plot points on your graph aren’t too far apart. You can’t be sure of the arc you should draw between the plot points if the points are located at the far corners of the graph; over a fifteen-minute interval, perhaps the change occurred in the first or last thirty seconds of that period (in which case your straight-line connection between the points is misleading).
• If you’re worried that you didn’t collect data at sufficiently regular intervals during your experiment, go ahead and connect the points with a straight line, but you may want to examine this problem as part of your Discussion section.
• Make your graph large enough so that everything is legible and clearly demarcated, but not so large that it either overwhelms the rest of the Results section or provides a far greater range than you need to illustrate your point. If, for example, the seedlings of your plant grew only 15 mm during the trial, you don’t need to construct a graph that accounts for 100 mm of growth. The lines in your graph should more or less fill the space created by the axes; if you see that your data is confined to the lower left portion of the graph, you should probably re-adjust your scale.
• If you create a set of graphs, make them the same size and format, including all the verbal and visual codes (captions, symbols, scale, etc.). You want to be as consistent as possible in your illustrations, so that your readers can easily make the comparisons you’re trying to get them to see.

How do I write a strong Discussion section?

The discussion section is probably the least formalized part of the report, in that you can’t really apply the same structure to every type of experiment. In simple terms, here you tell your readers what to make of the Results you obtained. If you have done the Results part well, your readers should already recognize the trends in the data and have a fairly clear idea of whether your hypothesis was supported. Because the Results can seem so self-explanatory, many students find it difficult to know what material to add in this last section.

Basically, the Discussion contains several parts, in no particular order, but roughly moving from specific (i.e., related to your experiment only) to general (how your findings fit in the larger scientific community). In this section, you will, as a rule, need to:

Explain whether the data support your hypothesis

• Acknowledge any anomalous data or deviations from what you expected

Derive conclusions, based on your findings, about the process you’re studying

• Relate your findings to earlier work in the same area (if you can)

Explore the theoretical and/or practical implications of your findings

Let’s look at some dos and don’ts for each of these objectives.

This statement is usually a good way to begin the Discussion, since you can’t effectively speak about the larger scientific value of your study until you’ve figured out the particulars of this experiment. You might begin this part of the Discussion by explicitly stating the relationships or correlations your data indicate between the independent and dependent variables. Then you can show more clearly why you believe your hypothesis was or was not supported. For example, if you tested solubility at various temperatures, you could start this section by noting that the rates of solubility increased as the temperature increased. If your initial hypothesis surmised that temperature change would not affect solubility, you would then say something like,

“The hypothesis that temperature change would not affect solubility was not supported by the data.”

Note: Students tend to view labs as practical tests of undeniable scientific truths. As a result, you may want to say that the hypothesis was “proved” or “disproved” or that it was “correct” or “incorrect.” These terms, however, reflect a degree of certainty that you as a scientist aren’t supposed to have. Remember, you’re testing a theory with a procedure that lasts only a few hours and relies on only a few trials, which severely compromises your ability to be sure about the “truth” you see. Words like “supported,” “indicated,” and “suggested” are more acceptable ways to evaluate your hypothesis.

Also, recognize that saying whether the data supported your hypothesis or not involves making a claim to be defended. As such, you need to show the readers that this claim is warranted by the evidence. Make sure that you’re very explicit about the relationship between the evidence and the conclusions you draw from it. This process is difficult for many writers because we don’t often justify conclusions in our regular lives. For example, you might nudge your friend at a party and whisper, “That guy’s drunk,” and once your friend lays eyes on the person in question, she might readily agree. In a scientific paper, by contrast, you would need to defend your claim more thoroughly by pointing to data such as slurred words, unsteady gait, and the lampshade-as-hat. In addition to pointing out these details, you would also need to show how (according to previous studies) these signs are consistent with inebriation, especially if they occur in conjunction with one another. To put it another way, tell your readers exactly how you got from point A (was the hypothesis supported?) to point B (yes/no).

Acknowledge any anomalous data, or deviations from what you expected

You need to take these exceptions and divergences into account, so that you qualify your conclusions sufficiently. For obvious reasons, your readers will doubt your authority if you (deliberately or inadvertently) overlook a key piece of data that doesn’t square with your perspective on what occurred. In a more philosophical sense, once you’ve ignored evidence that contradicts your claims, you’ve departed from the scientific method. The urge to “tidy up” the experiment is often strong, but if you give in to it you’re no longer performing good science.

Sometimes after you’ve performed a study or experiment, you realize that some part of the methods you used to test your hypothesis was flawed. In that case, it’s OK to suggest that if you had the chance to conduct your test again, you might change the design in this or that specific way in order to avoid such and such a problem. The key to making this approach work, though, is to be very precise about the weakness in your experiment, why and how you think that weakness might have affected your data, and how you would alter your protocol to eliminate—or limit the effects of—that weakness. Often, inexperienced researchers and writers feel the need to account for “wrong” data (remember, there’s no such animal), and so they speculate wildly about what might have screwed things up. These speculations include such factors as the unusually hot temperature in the room, or the possibility that their lab partners read the meters wrong, or the potentially defective equipment. These explanations are what scientists call “cop-outs,” or “lame”; don’t indicate that the experiment had a weakness unless you’re fairly certain that a) it really occurred and b) you can explain reasonably well how that weakness affected your results.

If, for example, your hypothesis dealt with the changes in solubility at different temperatures, then try to figure out what you can rationally say about the process of solubility more generally. If you’re doing an undergraduate lab, chances are that the lab will connect in some way to the material you’ve been covering either in lecture or in your reading, so you might choose to return to these resources as a way to help you think clearly about the process as a whole.

This part of the Discussion section is another place where you need to make sure that you’re not overreaching. Again, nothing you’ve found in one study would remotely allow you to claim that you now “know” something, or that something isn’t “true,” or that your experiment “confirmed” some principle or other. Hesitate before you go out on a limb—it’s dangerous! Use less absolutely conclusive language, including such words as “suggest,” “indicate,” “correspond,” “possibly,” “challenge,” etc.

Relate your findings to previous work in the field (if possible)

We’ve been talking about how to show that you belong in a particular community (such as biologists or anthropologists) by writing within conventions that they recognize and accept. Another is to try to identify a conversation going on among members of that community, and use your work to contribute to that conversation. In a larger philosophical sense, scientists can’t fully understand the value of their research unless they have some sense of the context that provoked and nourished it. That is, you have to recognize what’s new about your project (potentially, anyway) and how it benefits the wider body of scientific knowledge. On a more pragmatic level, especially for undergraduates, connecting your lab work to previous research will demonstrate to the TA that you see the big picture. You have an opportunity, in the Discussion section, to distinguish yourself from the students in your class who aren’t thinking beyond the barest facts of the study. Capitalize on this opportunity by putting your own work in context.

If you’re just beginning to work in the natural sciences (as a first-year biology or chemistry student, say), most likely the work you’ll be doing has already been performed and re-performed to a satisfactory degree. Hence, you could probably point to a similar experiment or study and compare/contrast your results and conclusions. More advanced work may deal with an issue that is somewhat less “resolved,” and so previous research may take the form of an ongoing debate, and you can use your own work to weigh in on that debate. If, for example, researchers are hotly disputing the value of herbal remedies for the common cold, and the results of your study suggest that Echinacea diminishes the symptoms but not the actual presence of the cold, then you might want to take some time in the Discussion section to recapitulate the specifics of the dispute as it relates to Echinacea as an herbal remedy. (Consider that you have probably already written in the Introduction about this debate as background research.)

This information is often the best way to end your Discussion (and, for all intents and purposes, the report). In argumentative writing generally, you want to use your closing words to convey the main point of your writing. This main point can be primarily theoretical (“Now that you understand this information, you’re in a better position to understand this larger issue”) or primarily practical (“You can use this information to take such and such an action”). In either case, the concluding statements help the reader to comprehend the significance of your project and your decision to write about it.

Since a lab report is argumentative—after all, you’re investigating a claim, and judging the legitimacy of that claim by generating and collecting evidence—it’s often a good idea to end your report with the same technique for establishing your main point. If you want to go the theoretical route, you might talk about the consequences your study has for the field or phenomenon you’re investigating. To return to the examples regarding solubility, you could end by reflecting on what your work on solubility as a function of temperature tells us (potentially) about solubility in general. (Some folks consider this type of exploration “pure” as opposed to “applied” science, although these labels can be problematic.) If you want to go the practical route, you could end by speculating about the medical, institutional, or commercial implications of your findings—in other words, answer the question, “What can this study help people to do?” In either case, you’re going to make your readers’ experience more satisfying, by helping them see why they spent their time learning what you had to teach them.

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

American Psychological Association. 2010. Publication Manual of the American Psychological Association . 6th ed. Washington, DC: American Psychological Association.

Beall, Herbert, and John Trimbur. 2001. A Short Guide to Writing About Chemistry , 2nd ed. New York: Longman.

Blum, Deborah, and Mary Knudson. 1997. A Field Guide for Science Writers: The Official Guide of the National Association of Science Writers . New York: Oxford University Press.

Booth, Wayne C., Gregory G. Colomb, Joseph M. Williams, Joseph Bizup, and William T. FitzGerald. 2016. The Craft of Research , 4th ed. Chicago: University of Chicago Press.

Briscoe, Mary Helen. 1996. Preparing Scientific Illustrations: A Guide to Better Posters, Presentations, and Publications , 2nd ed. New York: Springer-Verlag.

Council of Science Editors. 2014. Scientific Style and Format: The CSE Manual for Authors, Editors, and Publishers , 8th ed. Chicago & London: University of Chicago Press.

Davis, Martha. 2012. Scientific Papers and Presentations , 3rd ed. London: Academic Press.

Day, Robert A. 1994. How to Write and Publish a Scientific Paper , 4th ed. Phoenix: Oryx Press.

Porush, David. 1995. A Short Guide to Writing About Science . New York: Longman.

Williams, Joseph, and Joseph Bizup. 2017. Style: Lessons in Clarity and Grace , 12th ed. Boston: Pearson.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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Home » Research Paper Conclusion – Writing Guide and Examples

Research Paper Conclusion – Writing Guide and Examples

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Research Paper Conclusion

Definition:

A research paper conclusion is the final section of a research paper that summarizes the key findings, significance, and implications of the research. It is the writer’s opportunity to synthesize the information presented in the paper, draw conclusions, and make recommendations for future research or actions.

The conclusion should provide a clear and concise summary of the research paper, reiterating the research question or problem, the main results, and the significance of the findings. It should also discuss the limitations of the study and suggest areas for further research.

Parts of Research Paper Conclusion

The parts of a research paper conclusion typically include:

Restatement of the Thesis

The conclusion should begin by restating the thesis statement from the introduction in a different way. This helps to remind the reader of the main argument or purpose of the research.

Summary of Key Findings

The conclusion should summarize the main findings of the research, highlighting the most important results and conclusions. This section should be brief and to the point.

Implications and Significance

In this section, the researcher should explain the implications and significance of the research findings. This may include discussing the potential impact on the field or industry, highlighting new insights or knowledge gained, or pointing out areas for future research.

Limitations and Recommendations

It is important to acknowledge any limitations or weaknesses of the research and to make recommendations for how these could be addressed in future studies. This shows that the researcher is aware of the potential limitations of their work and is committed to improving the quality of research in their field.

Concluding Statement

The conclusion should end with a strong concluding statement that leaves a lasting impression on the reader. This could be a call to action, a recommendation for further research, or a final thought on the topic.

How to Write Research Paper Conclusion

Here are some steps you can follow to write an effective research paper conclusion:

• Restate the research problem or question: Begin by restating the research problem or question that you aimed to answer in your research. This will remind the reader of the purpose of your study.
• Summarize the main points: Summarize the key findings and results of your research. This can be done by highlighting the most important aspects of your research and the evidence that supports them.
• Discuss the implications: Discuss the implications of your findings for the research area and any potential applications of your research. You should also mention any limitations of your research that may affect the interpretation of your findings.
• Provide a conclusion : Provide a concise conclusion that summarizes the main points of your paper and emphasizes the significance of your research. This should be a strong and clear statement that leaves a lasting impression on the reader.
• Offer suggestions for future research: Lastly, offer suggestions for future research that could build on your findings and contribute to further advancements in the field.

Remember that the conclusion should be brief and to the point, while still effectively summarizing the key findings and implications of your research.

Example of Research Paper Conclusion

Here’s an example of a research paper conclusion:

Conclusion :

In conclusion, our study aimed to investigate the relationship between social media use and mental health among college students. Our findings suggest that there is a significant association between social media use and increased levels of anxiety and depression among college students. This highlights the need for increased awareness and education about the potential negative effects of social media use on mental health, particularly among college students.

Despite the limitations of our study, such as the small sample size and self-reported data, our findings have important implications for future research and practice. Future studies should aim to replicate our findings in larger, more diverse samples, and investigate the potential mechanisms underlying the association between social media use and mental health. In addition, interventions should be developed to promote healthy social media use among college students, such as mindfulness-based approaches and social media detox programs.

Overall, our study contributes to the growing body of research on the impact of social media on mental health, and highlights the importance of addressing this issue in the context of higher education. By raising awareness and promoting healthy social media use among college students, we can help to reduce the negative impact of social media on mental health and improve the well-being of young adults.

Purpose of Research Paper Conclusion

The purpose of a research paper conclusion is to provide a summary and synthesis of the key findings, significance, and implications of the research presented in the paper. The conclusion serves as the final opportunity for the writer to convey their message and leave a lasting impression on the reader.

The conclusion should restate the research problem or question, summarize the main results of the research, and explain their significance. It should also acknowledge the limitations of the study and suggest areas for future research or action.

Overall, the purpose of the conclusion is to provide a sense of closure to the research paper and to emphasize the importance of the research and its potential impact. It should leave the reader with a clear understanding of the main findings and why they matter. The conclusion serves as the writer’s opportunity to showcase their contribution to the field and to inspire further research and action.

When to Write Research Paper Conclusion

The conclusion of a research paper should be written after the body of the paper has been completed. It should not be written until the writer has thoroughly analyzed and interpreted their findings and has written a complete and cohesive discussion of the research.

Before writing the conclusion, the writer should review their research paper and consider the key points that they want to convey to the reader. They should also review the research question, hypotheses, and methodology to ensure that they have addressed all of the necessary components of the research.

Once the writer has a clear understanding of the main findings and their significance, they can begin writing the conclusion. The conclusion should be written in a clear and concise manner, and should reiterate the main points of the research while also providing insights and recommendations for future research or action.

Characteristics of Research Paper Conclusion

The characteristics of a research paper conclusion include:

• Clear and concise: The conclusion should be written in a clear and concise manner, summarizing the key findings and their significance.
• Comprehensive: The conclusion should address all of the main points of the research paper, including the research question or problem, the methodology, the main results, and their implications.
• Future-oriented : The conclusion should provide insights and recommendations for future research or action, based on the findings of the research.
• Impressive : The conclusion should leave a lasting impression on the reader, emphasizing the importance of the research and its potential impact.
• Objective : The conclusion should be based on the evidence presented in the research paper, and should avoid personal biases or opinions.
• Unique : The conclusion should be unique to the research paper and should not simply repeat information from the introduction or body of the paper.

Advantages of Research Paper Conclusion

The advantages of a research paper conclusion include:

• Summarizing the key findings : The conclusion provides a summary of the main findings of the research, making it easier for the reader to understand the key points of the study.
• Emphasizing the significance of the research: The conclusion emphasizes the importance of the research and its potential impact, making it more likely that readers will take the research seriously and consider its implications.
• Providing recommendations for future research or action : The conclusion suggests practical recommendations for future research or action, based on the findings of the study.
• Providing closure to the research paper : The conclusion provides a sense of closure to the research paper, tying together the different sections of the paper and leaving a lasting impression on the reader.
• Demonstrating the writer’s contribution to the field : The conclusion provides the writer with an opportunity to showcase their contribution to the field and to inspire further research and action.

Limitations of Research Paper Conclusion

While the conclusion of a research paper has many advantages, it also has some limitations that should be considered, including:

• I nability to address all aspects of the research: Due to the limited space available in the conclusion, it may not be possible to address all aspects of the research in detail.
• Subjectivity : While the conclusion should be objective, it may be influenced by the writer’s personal biases or opinions.
• Lack of new information: The conclusion should not introduce new information that has not been discussed in the body of the research paper.
• Lack of generalizability: The conclusions drawn from the research may not be applicable to other contexts or populations, limiting the generalizability of the study.
• Misinterpretation by the reader: The reader may misinterpret the conclusions drawn from the research, leading to a misunderstanding of the findings.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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What’s in an Equity Research Report?

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Even though you can easily find real equity research reports via the magical tool known as “Google,” we’ve continued to get questions on this topic.

Whenever I see the same question over and over again, you know what I do: I bash my head in repeatedly and contemplate jumping off a building…

…and then I write an article to answer the question.

To understand an equity research report, you must understand what goes into a  stock pitch first.

The idea is similar, but an ER report is a “watered-down” version of a stock pitch.

But banks have some very solid reasons for publishing equity research reports:

Why Do Equity Research Reports Matter?

You might remember from previous articles that equity research teams do not spend that much time writing these reports .

Most of their time is spent speaking with management teams and institutional investors and sharing their views on sectors and companies.

However, equity research reports are still important because:

• You do still spend some time doing the required modeling work (~15%) and writing the reports (~20%).
• You might have to write a research report as part of the interview process.

For example, if you apply to an equity research role or an equity research internship , especially in an off-cycle process, you might be asked to draft a short report on a company.

And then in roles outside of ER, you need to know how to interpret reports quickly and extract the key information.

Equity Research Reports: Myth vs. Reality

If you want to understand equity research reports, you have to understand first why banks publish them: to earn higher commissions from trading activity.

A bank wants to encourage institutional investors to buy more shares of the companies it covers.

Doing so generates more trading volume and higher commissions for the bank.

This is why you rarely, if ever, see “Sell” ratings, and why “Hold” ratings are far less common than “Buy” ratings.

Different Types of Equity Research Reports

One last point before getting into the tutorial: There are many different types of research reports.

“Initiating Coverage” reports tend to be long – 50-100 pages or more – and have tons of industry research and data.

“Sector Reports” on entire industries are also very long. And there are other types, which you can read about here .

In this tutorial, we’re focusing on the “Company Update” or “Company Note”-type reports, which are the most common ones.

The Full Tutorial, Video, and Sample Equity Research Reports

For our full walk-through of equity research reports, please see the video below:

Table of Contents:

• 1:43: Part 1: Stock Pitches vs. Equity Research Reports
• 6:00: Part 2: The 4 Main Differences in Research Reports
• 12:46: Part 3: Sample Reports and the Typical Sections
• 20:53: Recap and Summary

You can get the reports and documents referenced in the video here:

• Equity Research Report – Jazz Pharmaceuticals [JAZZ] – OUTPERFORM [BUY] Recommendation [PDF]
• Equity Research Report – Shawbrook [SHAW] – NEUTRAL [HOLD] Recommendation [PDF]
• Equity Research Reports vs. Stock Pitches – Slides [PDF]

If you want the text version instead, keep reading:

Watered-Down Stock Pitches

You should think of equity research reports as “watered-down stock pitches.”

If you’ve forgotten, a hedge fund or asset management stock pitch ( sample stock pitch here ) has the following components:

• Part 1: Recommendation
• Part 2: Company Background
• Part 3: Investment Thesis
• Part 4: Catalysts
• Part 5: Valuation
• Part 6: Investment Risks and How to Mitigate Them
• Part 7: The Worst-Case Scenario and How to Avoid It

In a stock pitch, you’ll spend most of your time and energy on the Catalysts, Valuation, and Investment Risks because you want to express a VERY different view of the company .

For example, the company’s stock price is $100, but you believe it’s worth only $50 because it’s about to report earnings 80% lower than expectations.

Therefore, you recommend shorting the stock. You also recommend purchasing call options at an exercise price of $125 to limit your losses to 25% if the stock moves in the opposite direction.

In an equity research report, you’ll still express a view of the company that’s different from the consensus, but your view won’t be dramatically different.

You’ll spend more time on the Company Background and Valuation sections, and far less time and space on the Catalysts and Risk Factors. And you won’t even write a Worst-Case Scenario section.

If a company seems overvalued by 50%, a research analyst would probably write a “Hold” recommendation, say that there’s “uncertainty around several customers,” and claim that the company’s current market value is appropriate.

Oh, and by the way, one risk factor is that the company might report lower-than-expected earnings.

The Four Main Differences in Equity Research Reports

The main differences are as follows:

1) There’s More Emphasis on Recent Results and Announcements

For example, how does a recent product announcement, clinical trial result, or earnings report impact the company?

You’ll almost always see recent news and updates on the first page of a research report:

These factors may play a role in hedge fund stock pitches as well, but more so in short recommendations since timing is more important there.

2) Far-Outside-the-Mainstream Views Are Less Common

One comical example of this trend is how all 15 equity research analysts covering Enron rated it a “buy” right before it collapsed :

Sell-side analysts are far less likely to point out that the emperor has no clothes than buy-side analysts.

3) Research Reports Give “Target Prices” Rather Than Target Price Ranges

For example, the company is trading at $50.00 right now, but we expect its price to increase to exactly $75.00 in the next twelve months.

This idea is completely ridiculous because valuation is always about the range of possible outcomes, not a specific outcome.

Despite horrendously low accuracy , this practice continues.

To be fair, many analysts do give target prices in different cases, which is an improvement:

4) The Investment Thesis, Catalysts, and Risk Factors Are “Looser”

These sections tend to be “afterthoughts” in most reports.

For example, the bank might give a few reasons why it expects the company’s share price to rise: the company will capture more market share than expected, it will be able to increase its product prices more rapidly than expected, and a competitor is about to go bankrupt.

However, the sell-side analyst will not tie these factors to specific share-price impacts as a buy-side analyst would.

Similarly, the report might mention catalysts and investment risks, but there won’t be a link to a specific valuation impact from each factor.

So the typical stock pitch logic (“We think there’s a 50% chance of gaining 80% and a 50% chance of losing 20%”) won’t be spelled out explicitly:

Your Sample Equity Research Reports

To illustrate these concepts, I’m sharing two equity research reports from our financial modeling courses :

The first one is from the valuation case study in our Advanced Financial Modeling course , and the second one is from the main case study in our Bank Modeling course .

These are comprehensive examples, backed by industry data and outside research, but if you want a shorter/simpler example you can recreate in a few hours, the Core Financial Modeling course has just that.

In each case, we started by creating traditional HF/AM stock pitches and valuations and then made our views weaker in the research reports.

The Typical Sections of an Equity Research Report

So let’s briefly go through the main sections of these reports, using the two examples above:

Page 1: Update, Rating, Price Target, and Recent Results

The first page of an “Update” report states the bank’s recommendation (Buy, Hold, or Sell, sometimes with slightly different terminology), and gives recent updates on the company.

For example, in both these reports we reference recent earnings results from the companies and expectations for the next fiscal year:

We also give a “target price,” explain where it comes from, and give our estimates for the company’s key financial metrics.

We mention catalysts in both reports, but we don’t link anything to a specific valuation impact.

One problem with providing a specific “target price” is that it must be based on specific multiples and specific assumptions in a DCF or DDM.

So with Jazz, we explain that the $170.00 target is based on 20.7x and 15.3x EV/EBITDA multiples for the comps, and a discount rate of 8.07% and Terminal FCF growth rate of 0.3% in the DCF.

Next: Operations and Financial Summary

Next, you’ll see a section with lots of graphs and charts detailing the company’s financial performance, market share, and important metrics and ratios.

For a pharmaceutical company like Jazz, you might see revenue by product, pricing and # of patients per product per year, and EBITDA margins.

For a commercial bank like Shawbrook, you might see loan growth, interest rates, interest income and net income, and regulatory capital figures such as the Common Equity Tier 1 (CET 1) and Tangible Common Equity (TCE) ratios:

This section of the report explains how the analyst or equity research associate forecast the company’s performance and came up with the numbers used in the valuation.

The valuation section is the one that’s most similar in a research report and a stock pitch.

In both fields, you explain how you arrived at the company’s implied value, which usually involves pasting in a DCF or DDM analysis and comparable companies and transactions.

The methodologies are the same, but the assumptions might differ substantially.

In research, you’re also more likely to point to specific multiples, such as the 75 th percentile EV/EBITDA multiple, and explain why they are the most meaningful ones.

For example, you might argue that since the company’s growth rates and margins exceed the medians of the set, it deserves to be valued at the 75 th percentile multiples rather than the median multiples:

Investment Thesis, Catalysts, and Risks

This section is short, and it is more of an afterthought than anything else.

We do give reasons for why these companies might be mis-priced, but the reasoning isn’t that detailed.

For example, in the Shawbrook report we state that the U.K. mortgage market might slow down and that regulatory changes might reduce the market size and the company’s market share:

Those are legitimate catalysts, but the report doesn’t explain their share-price impact in the same way that a stock pitch would.

Finally, banks present Investment Risks mostly so they can say, “Well, we warned you there were risks and that our recommendation might be wrong.”

By contrast, buy-side analysts present Investment Risks so they can say, “There is a legitimate chance we could lose 50% – let’s hedge against that risk with options or other investments so that our fund does not collapse .”

How These Reports Both Differ from the Corresponding Stock Pitches

The Jazz equity research report corresponds to a “Long” pitch that’s much stronger:

• We estimate its intrinsic value as $180 – $220 / share , up from $170 in the report.
• We estimate the per-share impact of each catalyst: price increases add 15% to the share price, more patients from marketing efforts add 10%, and later-than-expected generics competition adds 15%.
• We also estimate the per-share impact from the risk factors and conclude that in the worst case , the company’s share price might decline from $130 to $75-$80. But in all likelihood, even if we’re wrong, the company is simply valued appropriately at $130.
• And then we explain how to hedge against these risks with put options.

The same differences apply to the Shawbrook research report vs. the stock pitch, but the stock pitch there is a “Short” recommendation where we claim that the company is overvalued by 30-50%.

And that sums up the differences perfectly: A Short recommendation with 30-50% downside in a stock pitch turns into a “Hold” recommendation with roughly equal upside and downside in a sell-side research report.

I’ve been harsh on equity research here, but I don’t want to disparage it too much.

There are many positives: You do get more creativity than in IB, it might be better for hedge fund or asset management exits, and it’s more fun to follow companies than to grind through grunt work on deals.

But no matter how you slice it, most equity research reports are watered-down stock pitches.

So, make sure you understand the “strong stuff” first before you downgrade – even if your long-term goal is equity research.

You might be interested in:

• The Equity Research Analyst Career Path: The Best Escape from a Ph.D. Program, or a Pathway into the Abyss?
• Private Equity Regulation : 2023 Changes and Impact on Finance Careers
• Stock Pitch Guide: How to Pitch a Stock in Interviews and Win Offers

About the Author

Brian DeChesare is the Founder of Mergers & Inquisitions and Breaking Into Wall Street . In his spare time, he enjoys lifting weights, running, traveling, obsessively watching TV shows, and defeating Sauron.

Free Exclusive Report: 57-page guide with the action plan you need to break into investment banking - how to tell your story, network, craft a winning resume, and dominate your interviews

Read below or Add a comment

15 thoughts on “ What’s in an Equity Research Report? ”

Hi Brian, what softwares are available to publish Research Reports?

We use Word templates. Some large banks have specialized/custom programs, but not sure how common they are.

Is it possible if you can send me a template in word of an equity report? It will help the graduate stock management fund a lot at Umass Boston.

We only have PDF versions for these, but Word should be able to open any PDF reasonably well.

Do you also provide a pre constructed version of an ER in word?

We have editable examples of equity research reports in Word, but we generally only share PDF versions on this site.

Hey Brian Can you please help me with coverage initiated reports on oil companies. I could not find them on the net. I need to them to get equity research experience, after which only I will be able to get into the field. I searched but reports could not be found even for a price. Thanks

We have an example of an oil & gas stock pitch on this site… do a search…

https://mergersandinquisitions.com/oil-gas-stock-pitch/

Beyond that, sorry, we cannot look for reports and then share them with you or we’d be inundated with requests to do that every day.

No worries. Thanks!

Hi! Brian! Do u know how investment bankers design and layout an equity research? the software they use. like MS Word, Adobe Indesign or something…? And how to create and layout one? Thanks

where can I get free equity research report? I am a Chinese student and now study in Australia. Is the Morning Star a good resource for research report?

Get a TD Ameritrade to access free reports there for certain companies.

How do you view the ER industry since the trading commission has been down 50% since 2007. And there are new in coming regulation governing the ER reports have to explicitly priced and funds need to pay for the report explicity rather than as a service comes free with brokerage?

In addition the whole S&T environment is becoming highly automated.

People have been predicting the death of equity research for over a decade, but it’s still here. It may not be around in 100 years, but it will still be around in another 10 years, though it will be smaller and less relevant.

Yes, things are becoming more automated, but the actual job of an equity research analyst or associate hasn’t changed dramatically. A machine can’t speak with investors to assess their sentiment on a company – only humans can do that.

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How To Present Your Market Research Results And Reports In An Efficient Way

Table of Contents

1) What Is A Market Research Report?

2) Market Research Reports Examples

3) Why Do You Need Market Research Reports

4) How To Make A Market Research Report?

5) Types Of Market Research Reports

6) Challenges & Mistakes Market Research Reports

Market research analyses are the go-to solution for many professionals, and for good reason: they save time, offer fresh insights, and provide clarity on your business. In turn, market research reports will help you to refine and polish your strategy. Plus, a well-crafted report will give your work more credibility while adding weight to any marketing recommendations you offer a client or executive.

But, while this is the case, today’s business world still lacks a way to present market-based research results efficiently. The static, antiquated nature of PowerPoint makes it a bad choice for presenting research discoveries, yet it is still widely used to present results. 

Fortunately, things are moving in the right direction. There are online data visualization tools that make it easy and fast to build powerful market research dashboards. They come in handy to manage the outcomes, but also the most important aspect of any analysis: the presentation of said outcomes, without which it becomes hard to make accurate, sound decisions. 

Here, we consider the benefits of conducting research analyses while looking at how to write and present market research reports, exploring their value, and, ultimately, getting the very most from your research results by using professional market research software .

Let’s get started.

What Is a Market Research Report?

A market research report is an online reporting tool used to analyze the public perception or viability of a company, product, or service. These reports contain valuable and digestible information like customer survey responses and social, economic, and geographical insights.

On a typical market research results example, you can interact with valuable trends and gain insight into consumer behavior and visualizations that will empower you to conduct effective competitor analysis. Rather than adding streams of tenuous data to a static spreadsheet, a full market research report template brings the outcomes of market-driven research to life, giving users a data analysis tool to create actionable strategies from a range of consumer-driven insights.

With digital market analysis reports, you can make your business more intelligent more efficient, and, ultimately, meet the needs of your target audience head-on. This, in turn, will accelerate your commercial success significantly.

Your Chance: Want to test a market research reporting software? Explore our 14-day free trial & benefit from interactive research reports!

How To Present Your Results: 4 Essential Market Research Report Templates

When it comes to sharing rafts of invaluable information, research dashboards are invaluable.

Any market analysis report example worth its salt will allow everyone to get a firm grip on their results and discoveries on a single page with ease. These dynamic online dashboards also boast interactive features that empower the user to drill down deep into specific pockets of information while changing demographic parameters, including gender, age, and region, filtering the results swiftly to focus on the most relevant insights for the task at hand.

These four market research report examples are different but equally essential and cover key elements required for market survey report success. You can also modify each and use it as a client dashboard .

While there are numerous types of dashboards that you can choose from to adjust and optimize your results, we have selected the top 3 that will tell you more about the story behind them. Let’s take a closer look.

1. Market Research Report: Brand Analysis

Our first example shares the results of a brand study. To do so, a survey has been performed on a sample of 1333 people, information that we can see in detail on the left side of the board, summarizing the gender, age groups, and geolocation.

**click to enlarge**

At the dashboard's center, we can see the market-driven research discoveries concerning first brand awareness with and without help, as well as themes and celebrity suggestions, to know which image the audience associates with the brand.

Such dashboards are extremely convenient to share the most important information in a snapshot. Besides being interactive (but it cannot be seen on an image), it is even easier to filter the results according to certain criteria without producing dozens of PowerPoint slides. For instance, I could easily filter the report by choosing only the female answers, only the people aged between 25 and 34, or only the 25-34 males if that is my target audience.

Primary KPIs:

a) Unaided Brand Awareness

The first market research KPI in this most powerful report example comes in the form of unaided brand awareness. Presented in a logical line-style chart, this particular market study report sample KPI is invaluable, as it will give you a clear-cut insight into how people affiliate your brand within their niche.

As you can see from our example, based on a specific survey question, you can see how your brand stacks up against your competitors regarding awareness. Based on these outcomes, you can formulate strategies to help you stand out more in your sector and, ultimately, expand your audience.

b) Aided Brand Awareness

This market survey report sample KPI focuses on aided brand awareness. A visualization that offers a great deal of insight into which brands come to mind in certain niches or categories, here, you will find out which campaigns and messaging your target consumers are paying attention to and engaging with.

By gaining access to this level of insight, you can conduct effective competitor research and gain valuable inspiration for your products, promotional campaigns, and marketing messages.

c) Brand image

When it comes to research reporting, understanding how others perceive your brand is one of the most golden pieces of information you could acquire. If you know how people feel about your brand image, you can take informed and very specific actions that will enhance the way people view and interact with your business.

By asking a focused question, this visual of KPIs will give you a definitive idea of whether respondents agree, disagree, or are undecided on particular descriptions or perceptions related to your brand image. If you’re looking to present yourself and your message in a certain way (reliable, charming, spirited, etc.), you can see how you stack up against the competition and find out if you need to tweak your imagery or tone of voice - invaluable information for any modern business.

d) Celebrity analysis

This indicator is a powerful part of our research KPI dashboard on top, as it will give you a direct insight into the celebrities, influencers, or public figures that your most valued consumers consider when thinking about (or interacting with) your brand.

Displayed in a digestible bar chart-style format, this useful metric will not only give you a solid idea of how your brand messaging is perceived by consumers (depending on the type of celebrity they associate with your brand) but also guide you on which celebrities or influencers you should contact.

By working with the right influencers in your niche, you will boost the impact and reach of your marketing campaigns significantly, improving your commercial awareness in the process. And this is the KPI that will make it happen.

2. Market Research Results On Customer Satisfaction

Here, we have some of the most important data a company should care about: their already-existing customers and their perception of their relationship with the brand. It is crucial when we know that it is five times more expensive to acquire a new consumer than to retain one.

This is why tracking metrics like the customer effort score or the net promoter score (how likely consumers are to recommend your products and services) is essential, especially over time. You need to improve these scores to have happy customers who will always have a much bigger impact on their friends and relatives than any of your amazing ad campaigns. Looking at other satisfaction indicators like the quality, pricing, and design, or the service they received is also a best practice: you want a global view of your performance regarding customer satisfaction metrics .

Such research results reports are a great tool for managers who do not have much time and hence need to use them effectively. Thanks to these dashboards, they can control data for long-running projects anytime.

Primary KPIs :

a) Net Promoter Score (NPS)

Another pivotal part of any informative research presentation is your NPS score, which will tell you how likely a customer is to recommend your brand to their peers.

Centered on overall customer satisfaction, your NPS Score can cover the functions and output of many departments, including marketing, sales, and customer service, but also serve as a building block for a call center dashboard . When you’re considering how to present your research effectively, this balanced KPI offers a masterclass. It’s logical, it has a cohesive color scheme, and it offers access to vital information at a swift glance. With an NPS Score, customers are split into three categories: promoters (those scoring your service 9 or 10), passives (those scoring your service 7 or 8), and detractors (those scoring your service 0 to 6). The aim of the game is to gain more promoters. By gaining an accurate snapshot of your NPS Score, you can create intelligent strategies that will boost your results over time.

b) Customer Satisfaction Score (CSAT)

The next in our examples of market research reports KPIs comes in the form of the CSAT. The vast majority of consumers that have a bad experience will not return. Honing in on your CSAT is essential if you want to keep your audience happy and encourage long-term consumer loyalty.

This magnificent, full report KPI will show how satisfied customers are with specific elements of your products or services. Getting to grips with these scores will allow you to pinpoint very specific issues while capitalizing on your existing strengths. As a result, you can take measures to improve your CSAT score while sharing positive testimonials on your social media platforms and website to build trust.

c) Customer Effort Score (CES)

When it comes to presenting research findings, keeping track of your CES Score is essential. The CES Score KPI will give you instant access to information on how easy or difficult your audience can interact with or discover your company based on a simple scale of one to ten.

By getting a clear-cut gauge of how your customers find engagement with your brand, you can iron out any weaknesses in your user experience (UX) offerings while spotting any friction, bottlenecks, or misleading messaging. In doing so, you can boost your CES score, satisfy your audience, and boost your bottom line.

3. Market Research Results On Product Innovation

This final market-driven research example report focuses on the product itself and its innovation. It is a useful report for future product development and market potential, as well as pricing decisions.

Using the same sample of surveyed people as for the first market-focused analytical report , they answer questions about their potential usage and purchase of the said product. It is good primary feedback on how the market would receive the new product you would launch. Then comes the willingness to pay, which helps set a price range that will not be too cheap to be trusted nor too expensive for what it is. That will be the main information for your pricing strategy.

a) Usage Intention

The first of our product innovation KPI-based examples comes in the form of usage intention. When you’re considering how to write a market research report, including metrics centered on consumer intent is critical.

This simple yet effective visualization will allow you to understand not only how users see your product but also whether they prefer previous models or competitor versions . While you shouldn’t base all of your product-based research on this KPI, it is very valuable, and you should use it to your advantage frequently.

b) Purchase Intention

Another aspect to consider when looking at how to present market research data is your audience’s willingness or motivation to purchase your product. Offering percentage-based information, this effective KPI provides a wealth of at-a-glance information to help you make accurate forecasts centered on your product and service offerings.

Analyzing this information regularly will give you the confidence and direction to develop strategies that will steer you to a more prosperous future, meeting the ever-changing needs of your audience on an ongoing basis.

c) Willingness To Pay (WPS)

Our final market research example KPI is based on how willing customers are to pay for a particular service or product based on a specific set of parameters. This dynamic visualization, represented in an easy-to-follow pie chart, will allow you to realign the value of your product (USPs, functions, etc.) while setting price points that are most likely to result in conversions. This is a market research presentation template that every modern organization should use to its advantage.

4. Market Research Report On Customer Demographics 

This particular example of market research report, generated with a modern dashboard creator , is a powerful tool, as it displays a cohesive mix of key demographic information in one intuitive space.

By breaking down these deep pockets of consumer-centric information, you can gain the power to develop more impactful customer communications while personalizing every aspect of your target audience’s journey across every channel or touchpoint. As a result, you can transform theoretical insights into actionable strategies that will result in significant commercial growth. 

Every section of this responsive marketing research report works in unison to build a profile of your core audience in a way that will guide your company’s consumer-facing strategies with confidence. With in-depth visuals based on gender, education level, and tech adoption, you have everything you need to speak directly to your audience at your fingertips.

Let’s look at the key performance indicators (KPIs) of this invaluable market research report example in more detail.

a) Customer By Gender

This KPI is highly visual and offers a clear-cut representation of your company’s gender share over time. By gaining access to this vital information, you can deliver a more personalized experience to specific audience segments while ensuring your messaging is fair, engaging, and inclusive.

b) Customers by education level

The next market analysis report template is a KPI that provides a logical breakdown of your customers’ level of education. By using this as a demographic marker, you can refine your products to suit the needs of your audience while crafting your content in a way that truly resonates with different customer groups.

c) Customers by technology adoption

Particularly valuable if you’re a company that sells tech goods or services, this linear KPI will show you where your customers are in terms of technological know-how or usage. By getting to grips with this information over time, you can develop your products or services in a way that offers direct value to your consumers while making your launches or promotions as successful as possible.

d) Customer age groups

By understanding your customers’ age distribution in detail, you can gain a deep understanding of their preferences. And that’s exactly what this market research report sample KPI does. Presented in a bar chart format, this KPI will give you a full breakdown of your customers’ age ranges, allowing you to build detailed buyer personas and segment your audience effectively.

Why Do You Need Market Research Reports?

As the adage goes, “Look before you leap“ – which is exactly what a research report is here for. As the headlights of a car, they will show you the pitfalls and fast lanes on your road to success: likes and dislikes of a specific market segment in a certain geographical area, their expectations, and readiness. Among other things, a research report will let you:

• Get a holistic view of the market : learn more about the target market and understand the various factors involved in the buying decisions. A broader view of the market lets you benchmark other companies you do not focus on. This, in turn, will empower you to gather the industry data that counts most. This brings us to our next point.
• Curate industry information with momentum: Whether you’re looking to rebrand, improve on an existing service, or launch a new product, time is of the essence. By working with the best market research reports created with modern BI reporting tools , you can visualize your discoveries and data, formatting them in a way that not only unearths hidden insights but also tells a story - a narrative that will gain a deeper level of understanding into your niche or industry. The features and functionality of a market analysis report will help you grasp the information that is most valuable to your organization, pushing you ahead of the pack in the process.
• Validate internal research: Doing the internal analysis is one thing, but double-checking with a third party also greatly helps avoid getting blinded by your own data.
• Use actionable data and make informed decisions: Once you understand consumer behavior as well as the market, your competitors, and the issues that will affect the industry in the future, you are better armed to position your brand. Combining all of it with the quantitative data collected will allow you to more successful product development. To learn more about different methods, we suggest you read our guide on data analysis techniques .
• Strategic planning: When you want to map out big-picture organizational goals, launch a new product development, plan a geographic market expansion, or even a merger and acquisition – all of this strategic thinking needs solid foundations to fulfill the variety of challenges that come along.
• Consistency across the board: Collecting, presenting, and analyzing your results in a way that’s smarter, more interactive, and more cohesive will ensure your customer communications, marketing campaigns, user journey, and offerings meet your audience’s needs consistently across the board. The result? Faster growth, increased customer loyalty, and more profit.
• Better communication: The right market research analysis template (or templates) will empower everyone in the company with access to valuable information - the kind that is relevant and comprehensible. When everyone is moving to the beat of the same drum, they will collaborate more effectively and, ultimately, push the venture forward thanks to powerful online data analysis techniques.
• Centralization: Building on the last point, using a powerful market research report template in the form of a business intelligence dashboard will make presenting your findings to external stakeholders and clients far more effective, as you can showcase a wealth of metrics, information, insights, and invaluable feedback from one centralized, highly visual interactive screen. 
• Brand reputation: In the digital age, brand reputation is everything. By making vital improvements in all of the key areas above, you will meet your customers’ needs head-on with consistency while finding innovative ways to stand out from your competitors. These are the key ingredients of long-term success.

How To Present Market Research Analysis Results?

Here we look at how you should present your research reports, considering the steps it takes to connect with the outcomes you need to succeed:

• Collect your data 

As with any reporting process, you first and foremost need to collect the data you’ll use to conduct your studies. Businesses conduct research studies to analyze their brand awareness, identity, and influence in the market. For product development and pricing decisions, among many others. That said, there are many ways to collect information for a market research report. Among some of the most popular ones, we find: 

• Surveys: Probably the most common way to collect research data, surveys can come in the form of open or closed questions that can be answered anonymously. They are the cheapest and fastest way to collect insights about your customers and business. 
• Interviews : These are face-to-face discussions that allow the researcher to analyze responses as well as the body language of the interviewees. This method is often used to define buyer personas by analyzing the subject's budget, job title, lifestyle, wants, and needs, among other things. 
• Focus groups : This method involves a group of people discussing a topic with a mediator. It is often used to evaluate a new product or new feature or to answer a specific question that the researcher might have. 
• Observation-based research : In this type of research, the researcher or business sits back and watches customers interact with the product without any instructions or help. It allows us to identify pain points as well as strong features. 
• Market segmentation : This study allows you to identify and analyze potential market segments to target. Businesses use it to expand into new markets and audiences. 

These are just a few of the many ways in which you can gather your information. The important point is to keep the research objective as straightforward as possible. Supporting yourself with professional BI solutions to clean, manage, and present your insights is probably the smartest choice.

2. Hone in on your research:

When looking at how to source consumer research in a presentation, you should focus on two areas: primary and secondary research. Primary research comes from your internal data, monitoring existing organizational practices, the effectiveness of sales, and the tools used for communication, for instance. Primary research also assesses market competition by evaluating the company plans of the competitors. Secondary research focuses on existing data collected by a third party, information used to perform benchmarking and market analysis. Such metrics help in deciding which market segments are the ones the company should focus its efforts on or where the brand is standing in the minds of consumers. Before you start the reporting process, you should set your goals, segmenting your research into primary and secondary segments to get to grips with the kind of information you need to work with to achieve effective results.

3. Segment your customers:

To give your market research efforts more context, you should segment your customers into different groups according to the preferences outlined in the survey or feedback results or by examining behavioral or demographic data.

If you segment your customers, you can tailor your market research and analysis reports to display only the information, charts, or graphics that will provide actionable insights into their wants, needs, or industry-based pain points. 

• Identify your stakeholders:

Once you’ve drilled down into your results and segmented your consumer groups, it’s important to consider the key stakeholders within the organization that will benefit from your information the most. 

By looking at both internal and external stakeholders, you will give your results a path to effective presentation, gaining the tools to understand which areas of feedback or data are most valuable, as well as most redundant. As a consequence, you will ensure your results are concise and meet the exact information needs of every stakeholder involved in the process.

• Set your KPIs:

First, remember that your reports should be concise and accurate - straight to the point without omitting any essential information. Work to ensure your insights are clean and organized, with participants grouped into relevant categories (demographics, profession, industry, education, etc.). Once you’ve organized your research, set your goals, and cleaned your data, you should set your KPIs to ensure your report is populated with the right visualizations to get the job done. Explore our full library of interactive KPI examples for inspiration.

• Include competitor’s analysis 

Whether you are doing product innovation research, customer demographics, pricing, or any other, including some level of insights about competitors in your reports is always recommended as it can help your business or client better understand where they stand in the market. That being said, competitor analysis is not as easy as picking a list of companies in the same industry and listing them. Your main competitor can be just a company's division in an entirely different industry. For example, Apple Music competes with Spotify even though Apple is a technology company. Therefore, it is important to carefully analyze competitors from a general but detailed level. 

Providing this kind of information in your reports can also help you find areas that competitors are not exploiting or that are weaker and use them to your advantage to become a market leader. 

• Produce your summary:

To complement your previous efforts, writing an executive summary of one or two pages that will explain the general idea of the report is advisable. Then come the usual body parts:

• An introduction providing background information, target audience, and objectives;
• The qualitative research describes the participants in the research and why they are relevant to the business;
• The survey research outlines the questions asked and answered;
• A summary of the insights and metrics used to draw the conclusions, the research methods chosen, and why;
• A presentation of the findings based on your research and an in-depth explanation of these conclusions.
• Use a mix of visualizations:

When presenting your results and discoveries, you should aim to use a balanced mix of text, graphs, charts, and interactive visualizations.

Using your summary as a guide, you should decide which type of visualization will present each specific piece of market research data most effectively (often, the easier to understand and more accessible, the better).

Doing so will allow you to create a story that will put your research information into a living, breathing context, providing a level of insight you need to transform industry, competitor, or consumer info or feedback into actionable strategies and initiatives.

• Be careful not to mislead 

Expanding on the point above, using a mix of visuals can prove highly valuable in presenting your results in an engaging and understandable way. That being said, when not used correctly, graphs and charts can also become misleading. This is a popular practice in the media, news, and politics, where designers tweak the visuals to manipulate the masses into believing a certain conclusion. This is a very unethical practice that can also happen by mistake when you don’t pick the right chart or are not using it in the correct way. Therefore, it is important to outline the message you are trying to convey and pick the chart type that will best suit those needs. 

Additionally, you should also be careful with the data you choose to display, as it can also become misleading. This can happen if you, for example, cherry-pick data, which means only showing insights that prove a conclusion instead of the bigger picture. Or confusing correlation with causation, which means assuming that because two events happened simultaneously, one caused the other. 

Being aware of these practices is of utmost importance as objectivity is crucial when it comes to dealing with data analytics, especially if you are presenting results to clients. Our guides on misleading statistics and misleading data visualizations can help you learn more about this important topic. 

• Use professional dashboards:

To optimize your market research discoveries, you must work with a dynamic business dashboard . Not only are modern dashboards presentable and customizable, but they will offer you past, predictive, and real-time insights that are accurate, interactive, and yield long-lasting results.

All market research reports companies or businesses gathering industry or consumer-based information will benefit from professional dashboards, as they offer a highly powerful means of presenting your data in a way everyone can understand. And when that happens, everyone wins.

Did you know? The interactive nature of modern dashboards like datapine also offers the ability to quickly filter specific pockets of information with ease, offering swift access to invaluable insights.

• Prioritize interactivity 

The times when reports were static are long gone. Today, to extract the maximum value out of your research data, you need to be able to explore the information and answer any critical questions that arise during the presentation of results. To do so, modern reporting tools provide multiple interactivity features to help you bring your research results to life. 

For instance, a drill-down filter lets you go into lower levels of hierarchical data without generating another graph. For example, imagine you surveyed customers from 10 different countries. In your report, you have a chart displaying the number of customers by country, but you want to analyze a specific country in detail. A drill down filter would enable you to click on a specific country and display data by city on that same chart. Even better, a global filter would allow you to filter the entire report to show only results for that specific country. 

Through the use of interactive filters, such as the one we just mentioned, you’ll not only make the presentation of results more efficient and profound, but you’ll also avoid generating pages-long reports to display static results. All your information will be displayed in a single interactive page that can be filtered and explored upon need.  

• Customize the reports 

This is a tip that is valuable for any kind of research report, especially when it comes to agencies that are reporting to external clients. Customizing the report to match your client’s colors, logo, font, and overall branding will help them grasp the data better, thanks to a familiar environment. This is an invaluable tip as often your audience will not feel comfortable dealing with data and might find it hard to understand or intimidating. Therefore, providing a familiar look that is also interactive and easier to understand will keep them engaged and collaborative throughout the process. 

Plus, customizing the overall appearance of the report will also make your agency look more professional, adding extra value to your service. 

• Know your design essentials 

When you’re presenting your market research reports sample to internal or external stakeholders, having a firm grasp on fundamental design principles will make your metrics and insights far more persuasive and compelling.

By arranging your metrics in a balanced and logical format, you can guide users toward key pockets of information exactly when needed. In turn, this will improve decision-making and navigation, making your reports as impactful as possible.

For essential tips, read our 23 dashboard design principles & best practices to enhance your analytics process.

• Think of security and privacy 

Cyberattacks are increasing at a concerning pace, making security a huge priority for organizations of all sizes today. The costs of having your sensitive information leaked are not only financial but also reputational, as customers might not trust you again if their data ends up in the wrong hands. Given that market research analysis is often performed by agencies that handle data from clients, security and privacy should be a top priority.  

To ensure the required security and privacy, it is necessary to invest in the right tools to present your research results. For instance, tools such as datapine offer enterprise-level security protocols that ensure your information is encrypted and protected at all times. Plus, the tool also offers additional security features, such as being able to share your reports through a password-protected URL or to set viewer rights to ensure only the right people can access and manipulate the data. 

• Keep on improving & evolving

Each time you gather or gain new marketing research reports or market research analysis report intel, you should aim to refine your existing dashboards to reflect the ever-changing landscape around you.

If you update your reports and dashboards according to the new research you conduct and new insights you connect with, you will squeeze maximum value from your metrics, enjoying consistent development in the process.

Types of Market Research Reports: Primary & Secondary Research

With so many market research examples and such little time, knowing how to best present your insights under pressure can prove tricky.

To squeeze every last drop of value from your market research efforts and empower everyone with access to the right information, you should arrange your information into two main groups: primary research and secondary research.

A. Primary research

Primary research is based on acquiring direct or first-hand information related to your industry or sector and the customers linked to it.

Exploratory primary research is an initial form of information collection where your team might set out to identify potential issues, opportunities, and pain points related to your business or industry. This type of research is usually carried out in the form of general surveys or open-ended consumer Q&As, which nowadays are often performed online rather than offline . 

Specific primary research is definitive, with information gathered based on the issues, information, opportunities, or pain points your business has already uncovered. When doing this kind of research, you can drill down into a specific segment of your customers and seek answers to the opportunities, issues, or pain points in question.

When you’re conducting primary research to feed into your market research reporting efforts, it’s important to find reliable information sources. The most effective primary research sources include:

• Consumer-based statistical data
• Social media content
• Polls and Q&A
• Trend-based insights
• Competitor research
• First-hand interviews

B. Secondary research

Secondary research refers to every strand of relevant data or public records you have to gain a deeper insight into your market and target consumers. These sources include trend reports, market stats, industry-centric content, and sales insights you have at your disposal.  Secondary research is an effective way of gathering valuable intelligence about your competitors. 

You can gather very precise, insightful secondary market research insights from:

• Public records and resources like Census data, governmental reports, or labor stats
• Commercial resources like Gartner, Statista, or Forrester
• Articles, documentaries, and interview transcripts

Another essential branch of both primary and secondary research is internal intelligence. When it comes to efficient market research reporting examples that will benefit your organization, looking inward is a powerful move. 

Existing sales, demographic, or marketing performance insights will lead you to valuable conclusions. Curating internal information will ensure your market research discoveries are well-rounded while helping you connect with the information that will ultimately give you a panoramic view of your target market. 

By understanding both types of research and how they can offer value to your business, you can carefully choose the right informational sources, gather a wide range of intelligence related to your specific niche, and, ultimately, choose the right market research report sample for your specific needs.

If you tailor your market research report format to the type of research you conduct, you will present your visualizations in a way that provides the right people with the right insights, rather than throwing bundles of facts and figures on the wall, hoping that some of them stick.

Taking ample time to explore a range of primary and secondary sources will give your discoveries genuine context. By doing so, you will have a wealth of actionable consumer and competitor insights at your disposal at every stage of your organization’s development (a priceless weapon in an increasingly competitive digital age). 

Dynamic market research is the cornerstone of business development, and a dashboard builder is the vessel that brings these all-important insights to life. Once you get into that mindset, you will ensure that your research results always deliver maximum value.

Common Challenges & Mistakes Of Market Research Reporting & Analysis

We’ve explored different types of market research analysis examples and considered how to conduct effective research. Now, it’s time to look at the key mistakes of market research reporting.  Let’s start with the mistakes.

The mistakes

One of the biggest mistakes that stunt the success of a company’s market research efforts is strategy. Without taking the time to gather an adequate mix of insights from various sources and define your key aims or goals, your processes will become disjointed. You will also suffer from a severe lack of organizational vision.

For your market research-centric strategy to work, everyone within the company must be on the same page. Your core aims and objectives must align throughout the business, and everyone must be clear on their specific role. If you try to craft a collaborative strategy and decide on your informational sources from the very start of your journey, your strategy will deliver true growth and intelligence.

• Measurement

Another classic market research mistake is measurement – or, more accurately, a lack of precise measurement. When embarking on market intelligence gathering processes, many companies fail to select the right KPIs and set the correct benchmarks for the task at hand. Without clearly defined goals, many organizations end up with a market analysis report format that offers little or no value in terms of decision-making or market insights.

To drive growth with your market research efforts, you must set clearly defined KPIs that align with your specific goals, aims, and desired outcomes.

• Competition

A common mistake among many new or scaling companies is failing to explore and examine the competition. This will leave you with gaping informational blindspots. To truly benefit from market research, you must gather valuable nuggets of information from every key source available. Rather than solely looking at your consumers and the wider market (which is incredibly important), you should take the time to see what approach your direct competitors have adopted while getting to grips with the content and communications.

One of the most effective ways of doing so (and avoiding such a monumental market research mistake) is by signing up for your competitors’ mailing lists, downloading their apps, and examining their social media content. This will give you inspiration for your own efforts while allowing you to exploit any gaps in the market that your competitors are failing to fill.

The challenges

• Informational quality

We may have an almost infinite wealth of informational insights at our fingertips, but when it comes to market research, knowing which information to trust can prove an uphill struggle.

When working with metrics, many companies risk connecting with inaccurate insights or leading to a fruitless informational rabbit hole, wasting valuable time and resources in the process. To avoid such a mishap, working with a trusted modern market research and analysis sample is the only way forward.

• Senior buy-in

Another pressing market research challenge that stunts organizational growth is the simple case of senior buy-in. While almost every senior decision-maker knows that market research is an essential component of a successful commercial strategy, many are reluctant to invest an ample amount of time or money in the pursuit.

The best way to overcome such a challenge is by building a case that defines exactly how your market research strategies will offer a healthy ROI to every key aspect of the organization, from marketing and sales to customer experience (CX) and beyond.

• Response rates

Low interview, focus group, or poll response rates can have a serious impact on the success and value of your market research strategy. Even with adequate senior buy-in, you can’t always guarantee that you will get enough responses from early-round interviews or poll requests. If you don’t, your market research discoveries run the risk of being shallow or offering little in the way of actionable insight.

To overcome this common challenge, you can improve the incentive you offer your market research prospects while networking across various platforms to discover new contact opportunities. Changing the tone of voice of your ads or emails will also help boost your consumer or client response rates.

Bringing Your Reports a Step Further

Even if it is still widespread for market-style research results presentation, using PowerPoint at this stage is a hassle and presents many downsides and complications. When busy managers or short-on-time top executives grab a report, they want a quick overview that gives them an idea of the results and the big picture that addresses the objectives: they need a dashboard. This can be applied to all areas of a business that need fast and interactive data visualizations to support their decision-making.

We all know that a picture conveys more information than simple text or figures, so managing to bring it all together on an actionable dashboard will convey your message more efficiently. Besides, market research dashboards have the incredible advantage of always being up-to-date since they work with real-time insights: the synchronization/updating nightmare of dozens of PowerPoint slides doesn’t exist for you anymore. This is particularly helpful for tracking studies performed over time that recurrently need their data to be updated with more recent ones.

In today’s fast-paced business environment, companies must identify and grab new opportunities as they arise while staying away from threats and adapting quickly. In order to always be a step further and make the right decisions, it is critical to perform market research studies to get the information needed and make important decisions with confidence.

We’ve asked the question, “What is a market research report?”, and examined the dynamics of a modern market research report example, and one thing’s for sure: a visual market research report is the best way to understand your customer and thus increase their satisfaction by meeting their expectations head-on. 

From looking at a sample of a market research report, it’s also clear that modern dashboards help you see what is influencing your business with clarity, understand where your brand is situated in the market, and gauge the temperature of your niche or industry before a product or service launch. Once all the studies are done, you must present them efficiently to ensure everyone in the business can make the right decisions that result in real progress. Market research reports are your key allies in the matter.

To start presenting your results with efficient, interactive, dynamic research reports and win on tomorrow’s commercial battlefield, try our dashboard reporting software and test every feature with our 14-day free trial !