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Research Recommendations – Examples and Writing Guide

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Research Recommendations

Definition:

Research recommendations refer to suggestions or advice given to someone who is looking to conduct research on a specific topic or area. These recommendations may include suggestions for research methods, data collection techniques, sources of information, and other factors that can help to ensure that the research is conducted in a rigorous and effective manner. Research recommendations may be provided by experts in the field, such as professors, researchers, or consultants, and are intended to help guide the researcher towards the most appropriate and effective approach to their research project.

Parts of Research Recommendations

Research recommendations can vary depending on the specific project or area of research, but typically they will include some or all of the following parts:

• Research question or objective : This is the overarching goal or purpose of the research project.
• Research methods : This includes the specific techniques and strategies that will be used to collect and analyze data. The methods will depend on the research question and the type of data being collected.
• Data collection: This refers to the process of gathering information or data that will be used to answer the research question. This can involve a range of different methods, including surveys, interviews, observations, or experiments.
• Data analysis : This involves the process of examining and interpreting the data that has been collected. This can involve statistical analysis, qualitative analysis, or a combination of both.
• Results and conclusions: This section summarizes the findings of the research and presents any conclusions or recommendations based on those findings.
• Limitations and future research: This section discusses any limitations of the study and suggests areas for future research that could build on the findings of the current project.

How to Write Research Recommendations

Writing research recommendations involves providing specific suggestions or advice to a researcher on how to conduct their study. Here are some steps to consider when writing research recommendations:

• Understand the research question: Before writing research recommendations, it is important to have a clear understanding of the research question and the objectives of the study. This will help to ensure that the recommendations are relevant and appropriate.
• Consider the research methods: Consider the most appropriate research methods that could be used to collect and analyze data that will address the research question. Identify the strengths and weaknesses of the different methods and how they might apply to the specific research question.
• Provide specific recommendations: Provide specific and actionable recommendations that the researcher can implement in their study. This can include recommendations related to sample size, data collection techniques, research instruments, data analysis methods, or other relevant factors.
• Justify recommendations : Justify why each recommendation is being made and how it will help to address the research question or objective. It is important to provide a clear rationale for each recommendation to help the researcher understand why it is important.
• Consider limitations and ethical considerations : Consider any limitations or potential ethical considerations that may arise in conducting the research. Provide recommendations for addressing these issues or mitigating their impact.
• Summarize recommendations: Provide a summary of the recommendations at the end of the report or document, highlighting the most important points and emphasizing how the recommendations will contribute to the overall success of the research project.

Example of Research Recommendations

Example of Research Recommendations sample for students:

• Further investigate the effects of X on Y by conducting a larger-scale randomized controlled trial with a diverse population.
• Explore the relationship between A and B by conducting qualitative interviews with individuals who have experience with both.
• Investigate the long-term effects of intervention C by conducting a follow-up study with participants one year after completion.
• Examine the effectiveness of intervention D in a real-world setting by conducting a field study in a naturalistic environment.
• Compare and contrast the results of this study with those of previous research on the same topic to identify any discrepancies or inconsistencies in the findings.
• Expand upon the limitations of this study by addressing potential confounding variables and conducting further analyses to control for them.
• Investigate the relationship between E and F by conducting a meta-analysis of existing literature on the topic.
• Explore the potential moderating effects of variable G on the relationship between H and I by conducting subgroup analyses.
• Identify potential areas for future research based on the gaps in current literature and the findings of this study.
• Conduct a replication study to validate the results of this study and further establish the generalizability of the findings.

Applications of Research Recommendations

Research recommendations are important as they provide guidance on how to improve or solve a problem. The applications of research recommendations are numerous and can be used in various fields. Some of the applications of research recommendations include:

• Policy-making: Research recommendations can be used to develop policies that address specific issues. For example, recommendations from research on climate change can be used to develop policies that reduce carbon emissions and promote sustainability.
• Program development: Research recommendations can guide the development of programs that address specific issues. For example, recommendations from research on education can be used to develop programs that improve student achievement.
• Product development : Research recommendations can guide the development of products that meet specific needs. For example, recommendations from research on consumer behavior can be used to develop products that appeal to consumers.
• Marketing strategies: Research recommendations can be used to develop effective marketing strategies. For example, recommendations from research on target audiences can be used to develop marketing strategies that effectively reach specific demographic groups.
• Medical practice : Research recommendations can guide medical practitioners in providing the best possible care to patients. For example, recommendations from research on treatments for specific conditions can be used to improve patient outcomes.
• Scientific research: Research recommendations can guide future research in a specific field. For example, recommendations from research on a specific disease can be used to guide future research on treatments and cures for that disease.

Purpose of Research Recommendations

The purpose of research recommendations is to provide guidance on how to improve or solve a problem based on the findings of research. Research recommendations are typically made at the end of a research study and are based on the conclusions drawn from the research data. The purpose of research recommendations is to provide actionable advice to individuals or organizations that can help them make informed decisions, develop effective strategies, or implement changes that address the issues identified in the research.

The main purpose of research recommendations is to facilitate the transfer of knowledge from researchers to practitioners, policymakers, or other stakeholders who can benefit from the research findings. Recommendations can help bridge the gap between research and practice by providing specific actions that can be taken based on the research results. By providing clear and actionable recommendations, researchers can help ensure that their findings are put into practice, leading to improvements in various fields, such as healthcare, education, business, and public policy.

Characteristics of Research Recommendations

Research recommendations are a key component of research studies and are intended to provide practical guidance on how to apply research findings to real-world problems. The following are some of the key characteristics of research recommendations:

• Actionable : Research recommendations should be specific and actionable, providing clear guidance on what actions should be taken to address the problem identified in the research.
• Evidence-based: Research recommendations should be based on the findings of the research study, supported by the data collected and analyzed.
• Contextual: Research recommendations should be tailored to the specific context in which they will be implemented, taking into account the unique circumstances and constraints of the situation.
• Feasible : Research recommendations should be realistic and feasible, taking into account the available resources, time constraints, and other factors that may impact their implementation.
• Prioritized: Research recommendations should be prioritized based on their potential impact and feasibility, with the most important recommendations given the highest priority.
• Communicated effectively: Research recommendations should be communicated clearly and effectively, using language that is understandable to the target audience.
• Evaluated : Research recommendations should be evaluated to determine their effectiveness in addressing the problem identified in the research, and to identify opportunities for improvement.

Advantages of Research Recommendations

Research recommendations have several advantages, including:

• Providing practical guidance: Research recommendations provide practical guidance on how to apply research findings to real-world problems, helping to bridge the gap between research and practice.
• Improving decision-making: Research recommendations help decision-makers make informed decisions based on the findings of research, leading to better outcomes and improved performance.
• Enhancing accountability : Research recommendations can help enhance accountability by providing clear guidance on what actions should be taken, and by providing a basis for evaluating progress and outcomes.
• Informing policy development : Research recommendations can inform the development of policies that are evidence-based and tailored to the specific needs of a given situation.
• Enhancing knowledge transfer: Research recommendations help facilitate the transfer of knowledge from researchers to practitioners, policymakers, or other stakeholders who can benefit from the research findings.
• Encouraging further research : Research recommendations can help identify gaps in knowledge and areas for further research, encouraging continued exploration and discovery.
• Promoting innovation: Research recommendations can help identify innovative solutions to complex problems, leading to new ideas and approaches.

Limitations of Research Recommendations

While research recommendations have several advantages, there are also some limitations to consider. These limitations include:

• Context-specific: Research recommendations may be context-specific and may not be applicable in all situations. Recommendations developed in one context may not be suitable for another context, requiring adaptation or modification.
• I mplementation challenges: Implementation of research recommendations may face challenges, such as lack of resources, resistance to change, or lack of buy-in from stakeholders.
• Limited scope: Research recommendations may be limited in scope, focusing only on a specific issue or aspect of a problem, while other important factors may be overlooked.
• Uncertainty : Research recommendations may be uncertain, particularly when the research findings are inconclusive or when the recommendations are based on limited data.
• Bias : Research recommendations may be influenced by researcher bias or conflicts of interest, leading to recommendations that are not in the best interests of stakeholders.
• Timing : Research recommendations may be time-sensitive, requiring timely action to be effective. Delayed action may result in missed opportunities or reduced effectiveness.
• Lack of evaluation: Research recommendations may not be evaluated to determine their effectiveness or impact, making it difficult to assess whether they are successful or not.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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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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• 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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• Peer review
• Polly Brown ( pbrown{at}bmjgroup.com ) , publishing manager 1 ,
• Klara Brunnhuber , clinical editor 1 ,
• Kalipso Chalkidou , associate director, research and development 2 ,
• Iain Chalmers , director 3 ,
• Mike Clarke , director 4 ,
• Mark Fenton , editor 3 ,
• Carol Forbes , reviews manager 5 ,
• Julie Glanville , associate director/information service manager 5 ,
• Nicholas J Hicks , consultant in public health medicine 6 ,
• Janet Moody , identification and prioritisation manager 6 ,
• Sara Twaddle , director 7 ,
• Hazim Timimi , systems developer 8 ,
• Pamela Young , senior programme manager 6
• 1 BMJ Publishing Group, London WC1H 9JR,
• 2 National Institute for Health and Clinical Excellence, London WC1V 6NA,
• 3 Database of Uncertainties about the Effects of Treatments, James Lind Alliance Secretariat, James Lind Initiative, Oxford OX2 7LG,
• 4 UK Cochrane Centre, Oxford OX2 7LG,
• 5 Centre for Reviews and Dissemination, University of York, York YO10 5DD,
• 6 National Coordinating Centre for Health Technology Assessment, University of Southampton, Southampton SO16 7PX,
• 7 Scottish Intercollegiate Guidelines Network, Edinburgh EH2 1EN,
• 8 Update Software, Oxford OX2 7LG
• Correspondence to: PBrown
• Accepted 22 September 2006

“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 ( http://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

• View inline

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

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.

• Richardson WS ,
• Wilson MC ,
• Nishikawa J ,
• Hayward RSA
• McManus RJ ,
• Leonardi-Bee J ,
• PROGRESS Collaborative Group
• Warburton E
• Rothwell P ,
• McIntosh AM ,
• Lawrie SM ,
• Stanfield AC
• O'Donnell C ,
• Donohoe G ,
• Sharkey L ,
• Jablensky A ,
• Sartorius N ,
• Ernberg G ,

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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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. 

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Dissertation Recommendations — How To Write Them

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Recommendations are crucial to your paper because they suggest solutions to your research problems. You can include recommendations in the discussion sections of your writing and briefly in the conclusions of your dissertation , thesis, or research paper . This article discusses dissertation recommendations, their purpose, and how to write one.

Inhaltsverzeichnis

• 1 Dissertation Recommendations — In a Nutshell
• 2 Definition: Dissertation recommendations
• 3 How to write dissertation recommendations
• 4 Dissertation recommendations based on your findings
• 5 Purpose of dissertation recommendations

Dissertation Recommendations — In a Nutshell

• Dissertation recommendations are an important aspect of your research paper.
• They should be specific, measurable, and have the potential of future possibilities.
• Additionally, these recommendations should offer practical insights and suggestions for solving real-life problems.

When making your recommendations, please ensure the following:

• Your recommendations are an extension of your work instead of a basis for self-criticism
• Your research stands independently instead of suggesting recommendations that will complete it
• Your dissertation recommendations offer insights into how future research can build upon it instead of undermining your research

Definition: Dissertation recommendations

Dissertation recommendations are the actionable insights and suggestions presented after you get your research findings. These suggestions are usually based on what you find and help to guide future studies or practical applications. It’s best to place your dissertation recommendations at the conclusion.

How to write dissertation recommendations

When writing your academic paper, you can frame dissertation recommendations using one of the following methods:

Use the problem: In this approach, you should address the issues highlighted in your research.

Offer solutions: You can offer some practical solutions to the problems revealed in your research.

Use a theory: Here, you can base your recommendations on your study’s theoretical approach.

Here are some helpful tips for writing dissertation recommendations that you should incorporate when drafting a research paper:

• Avoid general or vague recommendations
• Be specific and concrete
• Offer measurable insights   Ensure your suggestions are practical and implementable
• Avoid focusing on theoretical concepts or new findings but on future possibilities

“Based on the study’s outcomes, it’s recommended that businesses and organizations develop mental health well-being frameworks to reduce workplace stress. This training should be mandatory for all employees and conducted on a monthly basis.”

Dissertation recommendations based on your findings

After analysing your findings, you can divide your dissertation recommendations into two subheadings as discussed below:

What can be done?

This section highlights the steps you can use when conducting the research. You may also include any steps needed to address the issues highlighted in your research question. For instance, if the study reveals a lack of emotional connection between employees, implementing dynamic awareness training or sit-downs could be recommended.

Is further research needed?

This section highlights the benefits of further studies that will help build on your research findings. For instance, if your research found less data on employee mental well-being, your dissertation recommendations could suggest future studies.

Purpose of dissertation recommendations

Note: Dissertation recommendations have the following purposes:

• Provide guidance and improve the quality of further studies based on your research findings
• Offer insights, call to action, or suggest other studies
• Highlight specific, clear, and realistic suggestions for future studies

When writing your dissertation recommendations, always remember to keep them specific, measurable, and clear. You should also ensure that a comprehensible rationale supports these recommendations. Additionally, your requests should always be directly linked to your research and offer suggestions from that angle.

Note that your suggestions should always focus on future possibilities and not on present new findings or theoretical concepts. This is because future researchers may use your results to draw further conclusions and gather new insights from your work.

Can I include new arguments in the conclusion of a dissertation

Dissertations follow a more formal structure; hence, you can only present new arguments in the conclusion. Use your dissertation’s concluding part as a summary of your points or to provide recommendations.

How is the conclusion different from the discussion sections?

The discussion section describes a detailed account of your findings, while the conclusion answers the research question and highlights some recommendations.

What shouldn't I include in the dissertation recommendations?

Avoid concluding with weak statements like “there are good insights from both ends…”, generic phrases like “in conclusion…” or evidence that you failed to mention in the discussion or results section.

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How To Make Recommendation in Case Study (With Examples)

After analyzing your case study’s problem and suggesting possible courses of action , you’re now ready to conclude it on a high note. 

But first, you need to write your recommendation to address the problem. In this article, we will guide you on how to make a recommendation in a case study. 

Table of Contents

What is recommendation in case study, what is the purpose of recommendation in the case study, 1. review your case study’s problem, 2. assess your case study’s alternative courses of action, 3. pick your case study’s best alternative course of action, 4. explain in detail why you recommend your preferred course of action, examples of recommendations in case study, tips and warnings.

The Recommendation details your most preferred solution for your case study’s problem.

After identifying and analyzing the problem, your next step is to suggest potential solutions. You did this in the Alternative Courses of Action (ACA) section. Once you’re done writing your ACAs, you need to pick which among these ACAs is the best. The chosen course of action will be the one you’re writing in the recommendation section. 

The Recommendation portion also provides a thorough justification for selecting your most preferred solution. 

Notice how a recommendation in a case study differs from a recommendation in a research paper . In the latter, the recommendation tells your reader some potential studies that can be performed in the future to support your findings or to explore factors that you’re unable to cover. 

Your main goal in writing a case study is not only to understand the case at hand but also to think of a feasible solution. However, there are multiple ways to approach an issue. Since it’s impossible to implement all these solutions at once, you only need to pick the best one. 

The Recommendation portion tells the readers which among the potential solutions is best to implement given the constraints of an organization or business. This section allows you to introduce, defend, and explain this optimal solution. 

How To Write Recommendation in Case Study

You cannot recommend a solution if you are unable to grasp your case study’s issue. Make sure that you’re aware of the problem as well as the viewpoint from which you want to analyze it . 

Once you’ve fully grasped your case study’s problem, it’s time to suggest some feasible solutions to address it. A separate section of your manuscript called the Alternative Courses of Action (ACA) is dedicated to discussing these potential solutions. 

Afterward, you need to evaluate each ACA by identifying its respective advantages and disadvantages. 

After evaluating each proposed ACA, pick the one you’ll recommend to address the problem. All alternatives have their pros and cons so you must use your discretion in picking the best among these ACAs.

To help you decide which ACA to pick, here are some factors to consider:

• Realistic : The organization must have sufficient knowledge, expertise, resources, and manpower to execute the recommended solution. 
• Economical: The recommended solution must be cost-effective.
• Legal: The recommended solution must adhere to applicable laws.
• Ethical: The recommended solution must not have moral repercussions. 
• Timely: The recommended solution can be executed within the expected timeframe. 

You may also use a decision matrix to assist you in picking the best ACA 1 .  This matrix allows you to rank the ACAs based on your criteria. Please refer to our examples in the next section for an example of a Recommendation formed using a decision matrix. 

Provide your justifications for why you recommend your preferred solution. You can also explain why other alternatives are not chosen 2 .  

To help you understand how to make recommendations in a case study, let’s take a look at some examples below.

Case Study Problem : Lemongate Hotel is facing an overwhelming increase in the number of reservations due to a sudden implementation of a Local Government policy that boosts the city’s tourism. Although Lemongate Hotel has a sufficient area to accommodate the influx of tourists, the management is wary of the potential decline in the hotel’s quality of service while striving to meet the sudden increase in reservations. 

Alternative Courses of Action:

• ACA 1: Relax hiring qualifications to employ more hotel employees to ensure that sufficient human resources can provide quality hotel service
• ACA 2: Increase hotel reservation fees and other costs as a response to the influx of tourists demanding hotel accommodation
• ACA 3: Reduce privileges and hotel services enjoyed by each customer so that hotel employees will not be overwhelmed by the increase in accommodations.

Recommendation: 

Upon analysis of the problem, it is recommended to implement ACA 1. Among all suggested ACAs, this option is the easiest to execute with the minimal cost required. It will not also impact potential profits and customers’ satisfaction with hotel service.

Meanwhile, implementing ACA 2 might discourage customers from making reservations due to higher fees and look for other hotels as substitutes. It is also not recommended to do ACA 3 because reducing hotel services and privileges offered to customers might harm the hotel’s public reputation in the long run. 

The first paragraph of our sample recommendation specifies what ACA is best to implement and why.

Meanwhile, the succeeding paragraphs explain that ACA 2 and ACA 3 are not optimal solutions due to some of their limitations and potential negative impacts on the organization. 

Example 2 (with Decision Matrix)

Case Study: Last week, Pristine Footwear released its newest sneakers model for women – “Flightless.” However, the management noticed that “Flightless” had a mediocre sales performance in the previous week. For this reason, “Flightless” might be pulled out in the next few months.  The management must decide on the fate of “Flightless” with Pristine Footwear’s financial performance in mind. 

• ACA 1: Revamp “Flightless” marketing by hiring celebrities/social media influencers to promote the product
• ACA 2: Improve the “Flightless” current model by tweaking some features to fit current style trends
• ACA 3: Sell “Flightless” at a lower price to encourage more customers
• ACA 4: Stop production of “Flightless” after a couple of weeks to cut losses

Decision Matrix

Recommendation

Based on the decision matrix above 3 , the best course of action that Pristine Wear, Inc. must employ is ACA 3 or selling “Flightless” shoes at lower prices to encourage more customers. This solution can be implemented immediately without the need for an excessive amount of financial resources. Since lower prices entice customers to purchase more, “Flightless” sales might perform better given a reduction in its price.

In this example, the recommendation was formed with the help of a decision matrix. Each ACA was given a score of between 1 – 4 for each criterion. Note that the criterion used depends on the priorities of an organization, so there’s no standardized way to make this matrix. 

Meanwhile, the recommendation we’ve made here consists of only one paragraph. Although the matrix already revealed that ACA 3 tops the selection, we still provided a clear explanation of why it is the best. 

• Recommend with persuasion 4 . You may use data and statistics to back up your claim. Another option is to show that your preferred solution fits your theoretical knowledge about the case. For instance, if your recommendation involves reducing prices to entice customers to buy higher quantities of your products, you may invoke the “law of demand” 5 as a theoretical foundation of your recommendation. 
• Be prepared to make an implementation plan. Some case study formats require an implementation plan integrated with your recommendation. Basically, the implementation plan provides a thorough guide on how to execute your chosen solution (e.g., a step-by-step plan with a schedule).
• Manalili, K. (2021 – 2022). Selection of Best Applicant (Unpublished master’s thesis). Bulacan Agricultural State College. Retrieved September 23, 2022, from https://www.studocu.com/ph/document/bulacan-agricultural-state-college/business-administration/case-study-human-rights/19062233.
• How to Analyze a Case Study. (n.d.). Retrieved September 23, 2022, from https://wps.prenhall.com/bp_laudon_essbus_7/48/12303/3149605.cw/content/index.html
• Nguyen, C. (2022, April 13). How to Use a Decision Matrix to Assist Business Decision Making. Retrieved September 23, 2022, from https://venngage.com/blog/decision-matrix/
• Case Study Analysis: Examples + How-to Guide & Writing Tips. (n.d.). Retrieved September 23, 2022, from https://custom-writing.org/blog/great-case-study-analysis
• Hayes, A. (2022, January O8). Law of demand. Retrieved September 23, 2022, from https://www.investopedia.com/terms/l/lawofdemand.asp

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Last Updated September 23, 2022 07:23 PM

Jewel Kyle Fabula

Jewel Kyle Fabula is a Bachelor of Science in Economics student at the University of the Philippines Diliman. His passion for learning mathematics developed as he competed in some mathematics competitions during his Junior High School years. He loves cats, playing video games, and listening to music.

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Evans D, Coad J, Cottrell K, et al. Public involvement in research: assessing impact through a realist evaluation. Southampton (UK): NIHR Journals Library; 2014 Oct. (Health Services and Delivery Research, No. 2.36.)

Public involvement in research: assessing impact through a realist evaluation.

Chapter 9 conclusions and recommendations for future research.

• How well have we achieved our original aim and objectives?

The initially stated overarching aim of this research was to identify the contextual factors and mechanisms that are regularly associated with effective and cost-effective public involvement in research. While recognising the limitations of our analysis, we believe we have largely achieved this in our revised theory of public involvement in research set out in Chapter 8 . We have developed and tested this theory of public involvement in research in eight diverse case studies; this has highlighted important contextual factors, in particular PI leadership, which had not previously been prominent in the literature. We have identified how this critical contextual factor shapes key mechanisms of public involvement, including the identification of a senior lead for involvement, resource allocation for involvement and facilitation of research partners. These mechanisms then lead to specific outcomes in improving the quality of research, notably recruitment strategies and materials and data collection tools and methods. We have identified a ‘virtuous circle’ of feedback to research partners on their contribution leading to their improved confidence and motivation, which facilitates their continued contribution. Following feedback from the HS&DR Board on our original application we did not seek to assess the cost-effectiveness of different mechanisms of public involvement but we did cost the different types of public involvement as discussed in Chapter 7 . A key finding is that many research projects undercost public involvement.

In our original proposal we emphasised our desire to include case studies involving young people and families with children in the research process. We recruited two studies involving parents of young children aged under 5 years, and two projects involving ‘older’ young people in the 18- to 25-years age group. We recognise that in doing this we missed studies involving children and young people aged under 18 years; in principle we would have liked to have included studies involving such children and young people, but, given the resources at our disposal and the additional resource, ethical and governance issues this would have entailed, we regretfully concluded that this would not be feasible for our study. In terms of the four studies with parental and young persons’ involvement that we did include, we have not done a separate analysis of their data, but the themes emerging from those case studies were consistent with our other case studies and contributed to our overall analysis.

In terms of the initial objectives, we successfully recruited the sample of eight diverse case studies and collected and analysed data from them (objective 1). As intended, we identified the outcomes of involvement from multiple stakeholders‘ perspectives, although we did not get as many research partners‘ perspectives as we would have liked – see limitations below (objective 2). It was more difficult than expected to track the impact of public involvement from project inception through to completion (objective 3), as all of our projects turned out to have longer time scales than our own. Even to track involvement over a stage of a case study research project proved difficult, as the research usually did not fall into neatly staged time periods and one study had no involvement activity over the study period.

Nevertheless, we were able to track seven of the eight case studies prospectively and in real time over time periods of up to 9 months, giving us an unusual window on involvement processes that have previously mainly been observed retrospectively. We were successful in comparing the contextual factors, mechanisms and outcomes associated with public involvement from different stakeholders‘ perspectives and costing the different mechanisms for public involvement (objective 4). We only partly achieved our final objective of undertaking a consensus exercise among stakeholders to assess the merits of the realist evaluation approach and our approach to the measurement and valuation of economic costs of public involvement in research (objective 5). A final consensus event was held, where very useful discussion and amendment of our theory of public involvement took place, and the economic approach was discussed and helpfully critiqued by participants. However, as our earlier discussions developed more fully than expected, we decided to let them continue rather than interrupt them in order to run the final exercise to assess the merits of the realist evaluation approach. We did, however, test our analysis with all our case study participants by sending a draft of this final report for comment. We received a number of helpful comments and corrections but no disagreement with our overall analysis.

• What were the limitations of our study?

Realist evaluation is a relatively new approach and we recognise that there were a number of limitations to our study. We sought to follow the approach recommended by Pawson, but we acknowledge that we were not always able to do so. In particular, our theory of public involvement in research evolved over time and initially was not as tightly framed in terms of a testable hypothesis as Pawson recommends. In his latest book Pawson strongly recommends that outcomes should be measured with quantitative data, 17 but we did not do so; we were not aware of the existence of quantitative data or tools that would enable us to collect such data to answer our research questions. Even in terms of qualitative data, we did not capture as much information on outcomes as we initially envisaged. There were several reasons for this. The most important was that capturing outcomes in public involvement is easier the more operational the focus of involvement, and more difficult the more strategic the involvement. Thus, it was relatively easy to see the impact of a patient panel on the redesign of a recruitment leaflet but harder to capture the impact of research partners in a multidisciplinary team discussion of research design.

We also found it was sometimes more difficult to engage research partners as participants in our research than researchers or research managers. On reflection this is not surprising. Research partners are generally motivated to take part in research relevant to their lived experience of a health condition or situation, whereas our research was quite detached from their lived experience; in addition people had many constraints on their time, so getting involved in our research as well as their own was likely to be a burden too far for some. Researchers clearly also face significant time pressures but they had a more direct interest in our research, as they are obliged to engage with public involvement to satisfy research funders such as the NIHR. Moreover, researchers were being paid by their employers for their time during interviews with us, while research partners were not paid by us and usually not paid by their research teams. Whatever the reasons, we had less response from research partners than researchers or research managers, particularly for the third round of data collection; thus we have fewer data on outcomes from research partners‘ perspectives and we need to be aware of a possible selection bias towards more engaged research partners. Such a bias could have implications for our findings; for example payment might have been a more important motivating factor for less engaged advisory group members.

There were a number of practical difficulties we encountered. One challenge was when to recruit the case studies. We recruited four of our eight case studies prior to the full application, but this was more than 1 year before our project started and 15 months or more before data collection began. In this intervening period, we found that the time scales of some of the case studies were no longer ideal for our project and we faced the choice of whether to continue with them, although this timing was not ideal, or seek at a late moment to recruit alternative ones. One of our case studies ultimately undertook no involvement activity over the study period, so we obtained fewer data from it, and it contributed relatively little to our analysis. Similarly, one of the four case studies we recruited later experienced some delays itself in beginning and so we had a more limited period for data collection than initially envisaged. Research governance approvals took much longer than expected, particularly as we had to take three of our research partners, who were going to collect data within NHS projects, through the research passport process, which essentially truncated our data collection period from 1 year to 9 months. Even if we had had the full year initially envisaged for data collection, our conclusion with hindsight was that this was insufficiently long. To compare initial plans and intentions for involvement with the reality of what actually happened required a longer time period than a year for most of our case studies.

In the light of the importance we have placed on the commitment of PIs, there is an issue of potential selection bias in the recruitment of our sample. As our sampling strategy explicitly involved a networking approach to PIs of projects where we thought some significant public involvement was taking place, we were likely (as we did) to recruit enthusiasts and, at worst, those non-committed who were at least open to the potential value of public involvement. There were, unsurprisingly, no highly sceptical PIs in our sample. We have no data therefore on how public involvement may work in research where the PI is sceptical but may feel compelled to undertake involvement because of funder requirements or other factors.

• What would we do differently next time?

If we were to design this study again, there are a number of changes we would make. Most importantly we would go for a longer time period to be able to capture involvement through the whole research process from initial design through to dissemination. We would seek to recruit far more potential case studies in principle, so that we had greater choice of which to proceed with once our study began in earnest. We would include case studies from the application stage to capture the important early involvement of research partners in the initial design period. It might be preferable to research a smaller number of case studies, allowing a more in-depth ethnographic approach. Although challenging, it would be very informative to seek to sample sceptical PIs. This might require a brief screening exercise of a larger group of PIs on their attitudes to and experience of public involvement.

The economic evaluation was challenging in a number of ways, particularly in seeking to obtain completed resource logs from case study research partners. Having a 2-week data collection period was also problematic in a field such as public involvement, where activity may be very episodic and infrequent. Thus, collecting economic data alongside other case study data in a more integrated way, and particularly with interviews and more ethnographic observation of case study activities, might be advantageous. The new budgeting tool developed by INVOLVE and the MHRN may provide a useful resource for future economic evaluations. 23

We have learned much from the involvement of research partners in our research team and, although many aspects of our approach worked well, there are some things we would do differently in future. Even though we included substantial resources for research partner involvement in all aspects of our study, we underestimated how time-consuming such full involvement would be. We were perhaps overambitious in trying to ensure such full involvement with the number of research partners and the number and complexity of the case studies. We were also perhaps naive in expecting all the research partners to play the same role in the team; different research partners came with different experiences and skills, and, like most of our case studies, we might have been better to be less prescriptive and allow the roles to develop more organically within the project.

• Implications for research practice and funding

If one of the objectives of R&D policy is to increase the extent and effectiveness of public involvement in research, then a key implication of this research is the importance of influencing PIs to value public involvement in research or to delegate to other senior colleagues in leading on involvement in their research. Training is unlikely to be the key mechanism here; senior researchers are much more likely to be influenced by peers or by their personal experience of the benefits of public involvement. Early career researchers may be shaped by training but again peer learning and culture may be more influential. For those researchers sceptical or agnostic about public involvement, the requirement of funders is a key factor that is likely to make them engage with the involvement agenda. Therefore, funders need to scrutinise the track record of research teams on public involvement to ascertain whether there is any evidence of commitment or leadership on involvement.

One of the findings of the economic analysis was that PIs have consistently underestimated the costs of public involvement in their grant applications. Clearly the field will benefit from the guidance and budgeting tool recently disseminated by MHRN and INVOLVE. It was also notable that there was a degree of variation in the real costs of public involvement and that effective involvement is not necessarily costly. Different models of involvement incur different costs and researchers need to be made aware of the costs and benefits of these different options.

One methodological lesson we learned was the impact that conducting this research had on some participants’ reflection on the impact of public involvement. Particularly for research staff, the questions we asked sometimes made them reflect upon what they were doing and change aspects of their approach to involvement. Thus, the more the NIHR and other funders can build reporting, audit and other forms of evaluation on the impact of public involvement directly into their processes with PIs, the more likely such questioning might stimulate similar reflection.

• Recommendations for further research

There are a number of gaps in our knowledge around public involvement in research that follow from our findings, and would benefit from further research, including realist evaluation to extend and further test the theory we have developed here:

• In-depth exploration of how PIs become committed to public involvement and how to influence agnostic or sceptical PIs would be very helpful. Further research might compare, for example, training with peer-influencing strategies in engendering PI commitment. Research could explore the leadership role of other research team members, including research partners, and how collective leadership might support effective public involvement.
• More methodological work is needed on how to robustly capture the impact and outcomes of public involvement in research (building as well on the PiiAF work of Popay et al. 51 ), including further economic analysis and exploration of impact when research partners are integral to research teams.
• Research to develop approaches and carry out a full cost–benefit analysis of public involvement in research would be beneficial. Although methodologically challenging, it would be very useful to conduct some longer-term studies which sought to quantify the impact of public involvement on such key indicators as participant recruitment and retention in clinical trials.
• It would also be helpful to capture qualitatively the experiences and perspectives of research partners who have had mixed or negative experiences, since they may be less likely than enthusiasts to volunteer to participate in studies of involvement in research such as ours. Similarly, further research might explore the (relatively rare) experiences of marginalised and seldom-heard groups involved in research.
• Payment for public involvement in research remains a contested issue with strongly held positions for and against; it would be helpful to further explore the value research partners and researchers place on payment and its effectiveness for enhancing involvement in and impact on research.
• A final relatively narrow but important question that we identified after data collection had finished is: what is the impact of the long periods of relative non-involvement following initial periods of more intense involvement for research partners in some types of research, particularly clinical trials?

Included under terms of UK Non-commercial Government License .

• Cite this Page Evans D, Coad J, Cottrell K, et al. Public involvement in research: assessing impact through a realist evaluation. Southampton (UK): NIHR Journals Library; 2014 Oct. (Health Services and Delivery Research, No. 2.36.) Chapter 9, Conclusions and recommendations for future research.
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How to Write a Conclusion for Research Papers (with Examples)

The conclusion of a research paper is a crucial section that plays a significant role in the overall impact and effectiveness of your research paper. However, this is also the section that typically receives less attention compared to the introduction and the body of the paper. The conclusion serves to provide a concise summary of the key findings, their significance, their implications, and a sense of closure to the study. Discussing how can the findings be applied in real-world scenarios or inform policy, practice, or decision-making is especially valuable to practitioners and policymakers. The research paper conclusion also provides researchers with clear insights and valuable information for their own work, which they can then build on and contribute to the advancement of knowledge in the field.

The research paper conclusion should explain the significance of your findings within the broader context of your field. It restates how your results contribute to the existing body of knowledge and whether they confirm or challenge existing theories or hypotheses. Also, by identifying unanswered questions or areas requiring further investigation, your awareness of the broader research landscape can be demonstrated.

Remember to tailor the research paper conclusion to the specific needs and interests of your intended audience, which may include researchers, practitioners, policymakers, or a combination of these.

Table of Contents

What is a conclusion in a research paper, summarizing conclusion, editorial conclusion, externalizing conclusion, importance of a good research paper conclusion, how to write a conclusion for your research paper, research paper conclusion examples.

• How to write a research paper conclusion with Paperpal? 

Frequently Asked Questions

A conclusion in a research paper is the final section where you summarize and wrap up your research, presenting the key findings and insights derived from your study. The research paper conclusion is not the place to introduce new information or data that was not discussed in the main body of the paper. When working on how to conclude a research paper, remember to stick to summarizing and interpreting existing content. The research paper conclusion serves the following purposes: 1

• Warn readers of the possible consequences of not attending to the problem.
• Recommend specific course(s) of action.
• Restate key ideas to drive home the ultimate point of your research paper.
• Provide a “take-home” message that you want the readers to remember about your study.

Types of conclusions for research papers

In research papers, the conclusion provides closure to the reader. The type of research paper conclusion you choose depends on the nature of your study, your goals, and your target audience. I provide you with three common types of conclusions:

A summarizing conclusion is the most common type of conclusion in research papers. It involves summarizing the main points, reiterating the research question, and restating the significance of the findings. This common type of research paper conclusion is used across different disciplines.

An editorial conclusion is less common but can be used in research papers that are focused on proposing or advocating for a particular viewpoint or policy. It involves presenting a strong editorial or opinion based on the research findings and offering recommendations or calls to action.

An externalizing conclusion is a type of conclusion that extends the research beyond the scope of the paper by suggesting potential future research directions or discussing the broader implications of the findings. This type of conclusion is often used in more theoretical or exploratory research papers.

Align your conclusion’s tone with the rest of your research paper. Start Writing with Paperpal Now!  

The conclusion in a research paper serves several important purposes:

• Offers Implications and Recommendations : Your research paper conclusion is an excellent place to discuss the broader implications of your research and suggest potential areas for further study. It’s also an opportunity to offer practical recommendations based on your findings.
• Provides Closure : A good research paper conclusion provides a sense of closure to your paper. It should leave the reader with a feeling that they have reached the end of a well-structured and thought-provoking research project.
• Leaves a Lasting Impression : Writing a well-crafted research paper conclusion leaves a lasting impression on your readers. It’s your final opportunity to leave them with a new idea, a call to action, or a memorable quote.

Writing a strong conclusion for your research paper is essential to leave a lasting impression on your readers. Here’s a step-by-step process to help you create and know what to put in the conclusion of a research paper: 2

• Research Statement : Begin your research paper conclusion by restating your research statement. This reminds the reader of the main point you’ve been trying to prove throughout your paper. Keep it concise and clear.
• Key Points : Summarize the main arguments and key points you’ve made in your paper. Avoid introducing new information in the research paper conclusion. Instead, provide a concise overview of what you’ve discussed in the body of your paper.
• Address the Research Questions : If your research paper is based on specific research questions or hypotheses, briefly address whether you’ve answered them or achieved your research goals. Discuss the significance of your findings in this context.
• Significance : Highlight the importance of your research and its relevance in the broader context. Explain why your findings matter and how they contribute to the existing knowledge in your field.
• Implications : Explore the practical or theoretical implications of your research. How might your findings impact future research, policy, or real-world applications? Consider the “so what?” question.
• Future Research : Offer suggestions for future research in your area. What questions or aspects remain unanswered or warrant further investigation? This shows that your work opens the door for future exploration.
• Closing Thought : Conclude your research paper conclusion with a thought-provoking or memorable statement. This can leave a lasting impression on your readers and wrap up your paper effectively. Avoid introducing new information or arguments here.
• Proofread and Revise : Carefully proofread your conclusion for grammar, spelling, and clarity. Ensure that your ideas flow smoothly and that your conclusion is coherent and well-structured.

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Remember that a well-crafted research paper conclusion is a reflection of the strength of your research and your ability to communicate its significance effectively. It should leave a lasting impression on your readers and tie together all the threads of your paper. Now you know how to start the conclusion of a research paper and what elements to include to make it impactful, let’s look at a research paper conclusion sample.

How to write a research paper conclusion with Paperpal?

A research paper conclusion is not just a summary of your study, but a synthesis of the key findings that ties the research together and places it in a broader context. A research paper conclusion should be concise, typically around one paragraph in length. However, some complex topics may require a longer conclusion to ensure the reader is left with a clear understanding of the study’s significance. Paperpal, an AI writing assistant trusted by over 800,000 academics globally, can help you write a well-structured conclusion for your research paper. 

• Sign Up or Log In: Create a new Paperpal account or login with your details.  
• Navigate to Features : Once logged in, head over to the features’ side navigation pane. Click on Templates and you’ll find a suite of generative AI features to help you write better, faster.  
• Generate an outline: Under Templates, select ‘Outlines’. Choose ‘Research article’ as your document type.  
• Select your section: Since you’re focusing on the conclusion, select this section when prompted.  
• Choose your field of study: Identifying your field of study allows Paperpal to provide more targeted suggestions, ensuring the relevance of your conclusion to your specific area of research. 
• Provide a brief description of your study: Enter details about your research topic and findings. This information helps Paperpal generate a tailored outline that aligns with your paper’s content. 
• Generate the conclusion outline: After entering all necessary details, click on ‘generate’. Paperpal will then create a structured outline for your conclusion, to help you start writing and build upon the outline.  
• Write your conclusion: Use the generated outline to build your conclusion. The outline serves as a guide, ensuring you cover all critical aspects of a strong conclusion, from summarizing key findings to highlighting the research’s implications. 
• Refine and enhance: Paperpal’s ‘Make Academic’ feature can be particularly useful in the final stages. Select any paragraph of your conclusion and use this feature to elevate the academic tone, ensuring your writing is aligned to the academic journal standards. 

By following these steps, Paperpal not only simplifies the process of writing a research paper conclusion but also ensures it is impactful, concise, and aligned with academic standards. Sign up with Paperpal today and write your research paper conclusion 2x faster .  

The research paper conclusion is a crucial part of your paper as it provides the final opportunity to leave a strong impression on your readers. In the research paper conclusion, summarize the main points of your research paper by restating your research statement, highlighting the most important findings, addressing the research questions or objectives, explaining the broader context of the study, discussing the significance of your findings, providing recommendations if applicable, and emphasizing the takeaway message. The main purpose of the conclusion is to remind the reader of the main point or argument of your paper and to provide a clear and concise summary of the key findings and their implications. All these elements should feature on your list of what to put in the conclusion of a research paper to create a strong final statement for your work.

A strong conclusion is a critical component of a research paper, as it provides an opportunity to wrap up your arguments, reiterate your main points, and leave a lasting impression on your readers. Here are the key elements of a strong research paper conclusion: 1. Conciseness : A research paper conclusion should be concise and to the point. It should not introduce new information or ideas that were not discussed in the body of the paper. 2. Summarization : The research paper conclusion should be comprehensive enough to give the reader a clear understanding of the research’s main contributions. 3 . Relevance : Ensure that the information included in the research paper conclusion is directly relevant to the research paper’s main topic and objectives; avoid unnecessary details. 4 . Connection to the Introduction : A well-structured research paper conclusion often revisits the key points made in the introduction and shows how the research has addressed the initial questions or objectives. 5. Emphasis : Highlight the significance and implications of your research. Why is your study important? What are the broader implications or applications of your findings? 6 . Call to Action : Include a call to action or a recommendation for future research or action based on your findings.

The length of a research paper conclusion can vary depending on several factors, including the overall length of the paper, the complexity of the research, and the specific journal requirements. While there is no strict rule for the length of a conclusion, but it’s generally advisable to keep it relatively short. A typical research paper conclusion might be around 5-10% of the paper’s total length. For example, if your paper is 10 pages long, the conclusion might be roughly half a page to one page in length.

In general, you do not need to include citations in the research paper conclusion. Citations are typically reserved for the body of the paper to support your arguments and provide evidence for your claims. However, there may be some exceptions to this rule: 1. If you are drawing a direct quote or paraphrasing a specific source in your research paper conclusion, you should include a citation to give proper credit to the original author. 2. If your conclusion refers to or discusses specific research, data, or sources that are crucial to the overall argument, citations can be included to reinforce your conclusion’s validity.

The conclusion of a research paper serves several important purposes: 1. Summarize the Key Points 2. Reinforce the Main Argument 3. Provide Closure 4. Offer Insights or Implications 5. Engage the Reader. 6. Reflect on Limitations

Remember that the primary purpose of the research paper conclusion is to leave a lasting impression on the reader, reinforcing the key points and providing closure to your research. It’s often the last part of the paper that the reader will see, so it should be strong and well-crafted.

• Makar, G., Foltz, C., Lendner, M., & Vaccaro, A. R. (2018). How to write effective discussion and conclusion sections. Clinical spine surgery, 31(8), 345-346.
• Bunton, D. (2005). The structure of PhD conclusion chapters.  Journal of English for academic purposes ,  4 (3), 207-224.

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Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

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Choose Your Test

Sat / act prep online guides and tips, 9 sample excellent recommendation letters for your job.

Letters of Recommendation

Anyone who's applied for a job knows how important recommendation letters can be to getting hired. While you've probably asked for a reference letter in the past, you may be less familiar with writing one. If someone asks you for a reference, how can you produce a great letter that will help your employee, colleague, or friend get hired?

To help you through the writing process, we're providing nine samples of effective letters of recommendation (scroll down to skip to the samples!). By reading through these examples, you'll gain a clear understanding of how to structure your own letters.

Before getting to the free recommendation letter samples, let's briefly review the role that reference letters play in the hiring process. Why are they important, and what makes some stand out over others?

Why Are Recommendation Letters Important?

Many employers request recommendation letters to help them decide who to hire or internally promote. Throughout the hiring process, the applicant strives to present herself in the best light. Beyond the interview and resume, hiring managers look to recommendation letters to confirm the candidate's qualifications and to gain insight from an outside party.

The hiring manager wants to know what experiences the candidate will bring to the new role, how she'll contribute to the company or organization, and how she'll behave in the day-to-day. Recommendation letters can point to a candidate's future performance by talking about her past achievements.

Reference letters can also shed light on what it's like to manage, work with, or, in the case of a character reference, be friends with the person under consideration. They complement the candidate's story and suggest what she'll bring to the table in her next job.

If you get asked to write a letter for someone, it's safe to assume you want to do a good job. Helping someone get hired is not just a satisfying good deed, but it's also good professional karma! So how can you turn those good intentions into a stand-out employee letter of recommendation?

Each letter will, of course, be different, but good letters share certain key features. Read on to learn about three important characteristics of strong reference letters.

Your recommendation letter's not the time to be cagey about your identity! The hiring manager wants to know who you are and why you're qualified to recommend the applicant.

What Makes a Recommendation Letter Stand Out? 3 Key Features

Strong letters give positive descriptions of a candidate's skills in a concise and powerful way. Beyond using language that's clear and error-free, what elements should your recommendation letter include to be effective?

As you write your letter, make sure it does the following:

#1: Explains Why You're Qualified to Recommend the Candidate

In order to hold weight, a recommendation letter should come from a reputable source. If an employer wants a professional reference, then the writer of that letter probably worked with the candidate in a supervisory capacity. Some employers will also be interested in letters from a colleague or, occasionally, a friend, neighbor, or family member. Most letters, though, will be written by a supervisor, manager, or boss of some sort.

In the first paragraph, you should explain who you are and how you know the candidate. How long did you work with her and in what capacity? By explaining your relationship, you show that you're qualified to give an honest assessment.

If someone who feels like a relative stranger asks you to write a letter, you might consider declining or recommending someone else to write it. If you didn't get to know the candidate's work performance or only did so in a way completely unrelated to the new position, then you might not be able to provide a helpful letter of recommendation from employer to employee.

The best letters are written by people who can speak to the candidate's skills and accomplishments. Make sure to state clearly in the beginning of your letter who you are and why your opinion matters.

#2: Customized to the New Position

While you should speak to the candidate's accomplishments in her past role, you should also show why she'd make a good fit in the next one. Even if the candidate's making a career change, you can explain why she'll be able to do well in the new industry.

Here's where open communication with the applicant is important. She should share the job description so you have a clear understanding of the position's requirements. As the writer, you're not expected to do much research on the new job. The candidate should provide you with everything you need to know to customize your letter.

By drawing on this information, you can express confidence that the candidate will succeed in the new role. Then when the hiring manager reads your letter, she'll feel reassured that the candidate would make a good fit.

#3: Uses Specific Examples and Anecdotes

Finally, and perhaps most importantly, your letter should provide specific examples about the candidate. Don't just list adjectives like, "friendly, intelligent, and hard-working"; instead, present circumstances in which the candidate demonstrated those qualities. To borrow a favorite phrase of English teachers, "show, don't just tell."

Not only will examples point to the value the candidate brought to your organization or company, but they'll also paint a picture of how she works in day-to-day operations. Using two to three specific anecdotes in your letter will boost its level of persuasiveness. It will also sidestep a common rec letter trap: becoming a generic list of cliches.

Just as you should only write a recommendation letter if you feel qualified to assess the candidate, you should also only write it if you can provide a great one. While you don't want to go over the top and sound insincere, your letter should be a strongly positive endorsement.

Sample Recommendation Letters

As you read through the nine free job recommendation letters below, notice how they all share the three key features described above, even though they differ in terms of their source and target audience. Below are nine sample recommendation letters, each followed by an analysis of what it does well!

• Sample Recommendation Letter 1: Written by a Direct Manager for a Full-Time Employee
• Sample Recommendation Letter 2: Written by a Principal for a Teacher
• Sample Recommendation Letter 3: Written by a Direct Manager for a Part-Time Employee
• Sample Recommendation Letter 4: Written by a Manager for a Remote Worker
• Sample Recommendation Letter 5: Written by a Supervisor for an Internal Promotion
• Sample Recommendation Letter 6: Written by a Supervisor for a Student Intern
• Sample Recommendation Letter 7: Written by a Coworker
• Sample Recommendation Letter 8: Written by a Professor for a Former Student
• Sample Recommendation Letter 9: Written by a Friend as a Character Reference

After checking out the above samples of recommendation letters, read on for some final thoughts on how to write an excellent letter of recommendation for an employee, coworker, or friend.

Now that you've got all the building blocks, you can put them together into a powerful letter of recommendation!

Writing Strong Letters of Recommendation: Final Thoughts

While the above samples of recommendation letters will help guide you through the letter writing process, they can't look exactly like your final product. Writing a letter is a significant undertaking, as it requires you to customize your words to the candidate and make your letter unique. Even though the specifics will vary, strong letters of recommendation do have certain features in common. Each letter should...

Use an Official Format

The sample letters show the proper format for a recommendation letter. They have the employer's name, position, company, and company's address at the top. To give one example, here's the header for recommendation letter sample #1:

Ms. Greta Johanssen Sales Manager Streambase Corp. 66 Western Boulevard Santa Fe, New Mexico 87500

You should also use official letterhead that has your name and contact information across the top, in whatever way you've chosen to present it. Each letter is addressed to a specific person, a greeting that's more personal than, "Dear Hiring Manager." Typically, paragraphs are single-spaced with a double space in between each one.

Finally, every letter concludes with an invitation to contact the writer for any further information. Then the writer may include her position, company, phone number, and email below her name.

Start with a Strong Opener

The strongest letters start out with an immediate statement of support. They might say, "It's my honor," "It's my pleasure," or "I'm very pleased to provide this letter of recommendation for Joe." Stating the obvious with a sentence like, "I'm writing to recommend Joe," looks weak beside a more enthusiastic opener.

In the first paragraph, explain who you are and why you're qualified to recommend the candidate. Write a line or two of praise about her professional and personal strengths, perhaps with a summary of the main points you'll present in the rest of the letter.

Include Two to Three Specific Examples

As mentioned above, strong letters typically include two to three body paragraphs with specific anecdotes about the candidate. They don't just describe the applicant's great qualities and accomplishments; they give examples and prove to her prospective employer that she's made achievements in the past that predict future success.

You might talk about a project or responsibility of the applicant or the value she's brought to your company. Consider relevant qualities like flexibility, initiative, leadership, growth, collaboration, interpersonal skills, and/or ability to perform within a certain environment or culture.

To Sum Up...

Depending on your relationship with the candidate, you might focus more on her work performance or personal character in your recommendation letter. An employer will focus more heavily on professional skills while a coworker may add personal qualities.

A friend or neighbor providing a character reference would produce the most personal letter. It falls upon the candidate to choose her recommenders wisely and to share any relevant information about the prospective position to help them write the best letter they can.

As long as you incorporate the key features discussed above and take the time to make your letter positive and specific, you'll provide a strong recommendation letter that will help your employee, colleague, or friend get hired. And who knows—perhaps in a year or two, she'll be writing a recommendation letter for you!

What's Next?

Are you tasked with writing a recommendation letter for a student applying to college? If so, check out these samples of recommendation letters from teachers and counselors, along with additional writing tips and a thorough recommendation letter template!

• 4 Amazing Samples of Recommendation Letters from Teachers Should You Move to a State with No Income Taxes
• 3 Examples of Excellent Recommendation Letters from Counselors
• Complete Guide: Writing a Strong Letter of Recommendation
• Unsecured Credit Cards for Those with Bad Credit
• A Great College Recommendation Letter Template

Rebecca graduated with her Master's in Adolescent Counseling from the Harvard Graduate School of Education. She has years of teaching and college counseling experience and is passionate about helping students achieve their goals and improve their well-being. She graduated magna cum laude from Tufts University and scored in the 99th percentile on the SAT.

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How To Write a Reference Letter (Examples and Free Template)

Pass along your praise in a meaningful way.

Teacher job searches frequently require something many other careers don’t: a letter of reference. Both principals and teachers may find themselves asked to write these letters for their employees or coworkers. Wondering what to include and how to make the recommendation useful? Here’s how to write a reference letter for a teacher.

Want to make things even easier? Grab our free reference letter printable template, which walks you through the whole process. Just fill out the form on this page .

What is a reference letter?

How to write a letter of reference, reference letter example: principal for teacher, reference letter example: teacher for coworker.

Reference letters are just what they sound like: a testimonial about a person’s professional qualifications, abilities, and achievements. They’re written by someone who knows the applicant well and can speak to specifics about their career.

These days, most jobs don’t require reference letters since employers perform reference checks themselves. However, academia is different. Many teaching jobs require candidates to submit written letters of reference as part of their application packet. This is just one part of their overall evaluation of a candidate, of course. But these letters remain a key part of many teachers’ job searches.

Letter of Reference vs. Letter of Recommendation

These two terms are often used interchangeably, but reference letters are almost always specific to a job search. Students often need letters of recommendation for scholarships and college applications. If you need help writing a letter of recommendation for a student, check out these articles:

• Tips for Writing a College Recommendation Letter
• Strong Scholarship Recommendation Letter Examples

Writing a reference letter can feel like a daunting task, but these tips can help. Don’t forget to grab our free printable letter of reference template too!

Review Reference Letter Samples

If you’ve never written a reference letter or you want to up your game, take a look at some samples first. One of our favorite ways to do it is to use AI like ChatGPT to generate some reference letter samples specific to your situation. You definitely don’t want to copy these word-for-word, but you might find some helpful phrases or get a better idea of the format you should use. We’ve included some sample letters below too.

Brainstorm Ideas First

Before you begin writing, do a quick brainstorming session and jot down your thoughts about these prompts:

• What three words first come to mind when you think of this teacher?
• List this person’s biggest strengths as an educator.
• List a few times when this teacher really impressed you.
• Has this person won any awards or accolades worth mentioning?
• What makes this teacher special compared to their peers?
• What would this teacher’s students say about them? What about parents or co-workers? (If you have examples, round them up to include in the letter.)

Personalize the Letter

If you can, try to write a letter that’s specific to the job the teacher needs a reference letter for. Find out what they’ll be doing in their new role or position so you can include the most relevant qualities in your recommendation. Some reference letters are more general, so it’s OK if you can’t personalize them to the job.

Ask the teacher if there’s anything specific they’d like you to mention. You may also ask if there’s anything they’d prefer to keep confidential. For instance, if the teacher has a disability, they may not want to disclose that information yet.

Write an Introduction

Introduce yourself and explain your relationship to the teacher you’re providing a reference for. Include information such as how long you’ve known them and whether you’re speaking as a colleague, coworker, mentor, or supervisor.

Verify Their Qualifications and Experience

In the next paragraph, speak to the teacher’s education, including any special certifications or professional development achievements. Mention any awards, honors, or accolades they’ve earned. You can keep this section fairly short; the teacher has likely listed all of this on their CV already. Your reference letter will just help verify these qualifications.

Highlight Their Best Qualities

In the body of your letter, write two or three paragraphs that really help identify what makes this teacher special. Don’t try to squeeze in everything you know; instead, think about what really helps the person you’re recommending stand out. For each paragraph, focus on one of these areas (or other relevant topics), choosing the two or three overall that seem most important for this person.

• Subject matter knowledge and expertise
• Pedagogy skills
• Student and/or parent relationships
• Professional development
• Community relations
• Communication skills
• Leadership roles
• School pride and loyalty
• Personal traits, such as passion, enthusiasm, dedication, creativity, etc.

Provide Specific Examples and Anecdotes

This is where you really have the chance to make your letter valuable to the candidate. It’s easy to describe a person as “passionate about recognizing diversity” or “excellent at differentiating learning.” Without examples, though, these are just words. Try to anchor each quality you mention with specific examples or anecdotes that back up those words. Here are a couple of examples:

• “Alana is passionate about recognizing and celebrating diversity in her classroom. She frequently draws on her strong community relationships to bring diverse speakers and cultural activities to her classroom. Last fall, she organized an incredibly popular school-wide Diversity Fair where students and their families were encouraged to share their own cultures and experiences and learn from each other. One parent noted, ‘I’ve lived in this community for three years, but this is the first time I really feel like I know my neighbors.’”
• “One of Jamie’s strongest qualities is their ability to differentiate learning for their students. They’re always willing to determine what’s keeping a student from doing their best and finding new ways to overcome challenges. For instance, Jamie was instrumental in helping our school implement text-to-speech software that assists struggling readers and those who have visual impairment. This leveled the playing field in their history and geography classes, helping students focus on the subject at hand instead of spending too much time deciphering text.”

Conclude With a Strong Endorsement

You’ve come all this way, so don’t fall short at the very end! This is the time to state your personal recommendation in no uncertain terms. Sum up your major points, and offer to provide more information if needed.

• “I’m pleased to recommend Alana Whitmore for an elementary teaching position at your school. Her commitment to diversity, creative classroom approaches, and compassion for students and fellow coworkers would make her an excellent addition to any education team. If you want to discuss her qualifications further, don’t hesitate to contact me.”

Write Professionally and Proofread Carefully

This is a business communication, so strive for a professional but warm tone overall. If it’s a paper letter, use the standard business letter format (on your school letterhead if you’re an administrator). In an email, be sure your signature includes contact information such as a phone number and school address.

Don’t forget to proofread! A letter riddled with spelling errors and grammar mistakes is unlikely to hold much sway with a hiring committee or selection panel. Use a program like Grammarly to help you edit your letter until you’re satisfied with the final version.

Dear Hiring Committee,

I am writing to enthusiastically recommend Alana Whitmore for any opportunity that may arise that aligns with her exceptional skills and dedication as an elementary school teacher. In my capacity as the principal of Maya Angelou Elementary, I have had the privilege of witnessing firsthand the invaluable contributions Alana has made to our school community.

Alana has worked here for seven years, three as a fifth-grade teacher and four in third grade. She came to us fresh from earning her teaching certification at Lancaster University, and continued her education over the last several years to earn her Master’s of Education in Curriculum Design and Development. She was honored with our district’s Teacher of the Year award in 2022 and was the keynote speaker at our state’s education conference in 2023.

Alana is an exemplary educator who consistently demonstrates a deep commitment to the academic and emotional growth of her students. Through her inventive teaching methods and personalized approach, she ensures that every child in her classroom is provided with opportunities to thrive and succeed. During a recent observation, I noted how she cleverly adapted her unit on volcanoes to embrace different learning styles. She provided choices like watching a video, reading an article, or listening to a short podcast to build background knowledge. Students individually chose the option they preferred, then used their knowledge to work with a partner to design a poster, write a report, or give a short presentation on the topic. Students were all engaged throughout the process, enjoying a measure of autonomy while still meeting the stated learning objectives.

Furthermore, Alana excels in building strong and collaborative relationships with parents and guardians. She understands the importance of fostering open communication and partnership between home and school, and she actively seeks opportunities to involve families in their child’s education. One parent reached out to me to share these thoughts: “Ms. Whitmore is the first teacher who seems to care about me as a parent and a person. She went out of her way to arrange a videoconference that met my hectic work schedule, and seemed genuinely interested in the suggestions I had for helping my son. Knowing that she really cares has made this school year so much better for us all.”

In addition to her effectiveness in the classroom and with parents, Alana is highly regarded by her colleagues for her collaborative spirit and willingness to share her expertise. Last year, she helped organize a very well-received professional development day, with a variety of sessions that allowed every teacher to find a subject that truly mattered to them. She serves as a mentor to one of our new teachers, who told me that Alana has helped him see how he can put his college educational theories into practice in the real world. Other teachers regularly share praise for Alana’s cooperative spirit, and she’s been awarded “Coworker of the Year” by our staff three years in a row.

Alana embodies the qualities of an exceptional educator: She is dedicated, passionate, and deeply invested in the well-being and success of her students. Her commitment to differentiation, parent relationships, and collaboration sets her apart as a truly outstanding teacher. I wholeheartedly recommend Alana Whitmore for any role or opportunity where her skills, expertise, and dedication can make a meaningful impact. Please feel free to contact me if you require any further information.

Gina Torres Principal, Maya Angelou Elementary

Dear Selection Committee,

I am writing to enthusiastically recommend Jamie Lin for any teaching position that may become available within your school. As a fellow teacher and colleague at Ridgemont High School, I have had the pleasure of working closely with Jamie and have witnessed firsthand their exceptional talents and dedication to the field of education.

Jamie came to our school as a teacher of history and geography in 2019, working with ninth- through twelfth-grade students each year since. Before joining our team, they earned their Master’s Degree in Education with a focus on diversity studies. During Jamie’s four years here, they have been nominated for Teacher of the Year three times and received the award in 2023. Jamie frequently speaks at educational conferences on subjects like cultural relevance and student diversity.

One of Jamie’s greatest strengths is their ability to foster diversity and inclusivity within the learning environment. Whether discussing historical events or exploring global cultures, Jamie ensures that all students feel valued, respected, and represented in the curriculum. They frequently draw on their strong community relationships to bring diverse speakers and cultural activities to the classroom. Speakers and cultural presentations have included representatives of several indigenous communities and local authors from a variety of backgrounds. They also invite community politicians and activists to debate key issues, while students observe and then question the speakers themselves.

In addition to their dedication to diversity, Jamie is a remarkably creative educator who consistently goes above and beyond to engage students in meaningful and thought-provoking learning experiences. They have a passion for project-based learning, teaching critical thinking and problem-solving by having students tackle real-world issues. Through their projects, Jamie’s students have painted cultural murals on the walls in the school courtyard, helped translate our school handbook and other documents into three different languages, and created clubs for fellow students interested in topics like history, geography, and global cultures. Jamie believes in demonstrating what you’ve learned in meaningful ways, and their students thrive in this environment.

Furthermore, Jamie excels at building strong community relationships both inside and outside the classroom. They actively collaborate with colleagues, parents, and community members to create a supportive and enriching learning environment that extends beyond the walls of the school. Last fall, Jamie organized an incredibly popular school-wide Diversity Fair where students and their families were encouraged to share their own cultures and experiences and learn from each other. One parent noted, “I’ve lived in this community for three years, but this is the first time I really feel like I know my neighbors.”

Overall, Jamie Lin is an exceptional educator who embodies the qualities of excellence, creativity, and community engagement. Their passion for teaching, dedication to diversity, and innovative approach to education make them an invaluable asset to any school community.

I wholeheartedly endorse Jamie Lin for any teaching position and am confident that they will continue to make a positive impact on the lives of their students and colleagues. Please feel free to contact me if you require any further information.

Fatima Sundaram Teacher of Civics and Government, Ridgemont High School

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