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Research Recommendations – Examples and Writing Guide

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Research recommendations are a critical component of academic and professional studies. They provide actionable insights and propose future directions based on the findings of a research project. Writing effective recommendations requires careful analysis, clarity, and relevance to the research objectives and outcomes. This guide explains the importance of research recommendations, offers practical examples, and provides a structured approach to writing them effectively.

Research Recommendations

Research recommendations are proposals or suggestions that stem from the findings of a study. They outline steps for addressing identified gaps, improving processes, or exploring new areas of inquiry. These recommendations are often directed toward specific stakeholders, such as researchers, policymakers, or practitioners, to encourage actionable outcomes.

Importance of Research Recommendations

Including recommendations in a research report or thesis is essential for:

• Bridging the gap between research findings and practical applications.
• Guiding future studies to build on the current research.
• Providing stakeholders with insights for decision-making and policy formulation.
• Highlighting the broader relevance and impact of the study.

Clear and well-formulated recommendations ensure that the research contributes meaningfully to the field and addresses real-world challenges.

Types of Research Recommendations

1. practical recommendations.

These suggestions focus on real-world applications of the research findings.

• Example: “Healthcare providers should implement training programs to improve staff awareness of mental health issues among adolescents.”
• Purpose: Practical recommendations offer actionable steps for professionals or organizations to address issues identified in the research.

2. Policy Recommendations

These recommendations are aimed at policymakers and emphasize the need for regulatory or legislative action.

• Example: “Governments should enforce stricter regulations on carbon emissions to mitigate the effects of climate change.”
• Purpose: Policy recommendations advocate for systemic changes to address societal or environmental challenges.

3. Research-Based Recommendations

These propose areas for further investigation to address gaps or limitations in the current study.

• Example: “Future research should explore the long-term effects of virtual learning on student engagement and academic performance.”
• Purpose: Research-based recommendations encourage the continuation of scientific inquiry.

4. Methodological Recommendations

These focus on improving research methods or processes for future studies.

• Example: “Researchers should consider using longitudinal designs to better understand the relationship between workplace stress and productivity.”
• Purpose: Methodological recommendations aim to refine approaches for more robust and reliable outcomes.

Examples of Research Recommendations

Example 1: education research.

Findings: Online learning platforms were effective in delivering education but lacked engagement for younger students. Recommendation: “Developers of online learning platforms should integrate gamification techniques, such as interactive quizzes and reward systems, to enhance engagement among primary school students.”

Example 2: Environmental Research

Findings: Urban green spaces improve air quality but are limited in high-density areas. Recommendation: “Urban planners should prioritize the incorporation of vertical gardens and rooftop greenery in city development plans to maximize environmental benefits in high-density urban areas.”

Example 3: Healthcare Research

Findings: Patients with chronic conditions benefit from personalized care plans, but many healthcare providers lack access to necessary tools. Recommendation: “Healthcare institutions should invest in electronic health record (EHR) systems with capabilities for personalized care planning to improve patient outcomes.”

Example 4: Business Research

Findings: Remote work increased productivity but negatively impacted team cohesion. Recommendation: “Organizations should adopt hybrid work models that combine remote work with regular in-person team-building activities to balance productivity and collaboration.”

Steps to Write Research Recommendations

1. review research findings.

Analyze the key findings and conclusions of your study to identify actionable insights. Ensure that your recommendations align with the research objectives and address the primary issues raised.

2. Identify the Audience

Determine who will benefit from or act upon your recommendations. Tailor your suggestions to the needs and interests of your audience, such as policymakers, practitioners, or fellow researchers.

3. Prioritize Relevance and Feasibility

Focus on recommendations that are directly relevant to your study and feasible for the intended audience to implement. Avoid overly broad or unrealistic suggestions.

4. Use Clear and Specific Language

Write recommendations in a concise and actionable manner. Specify what should be done, by whom, and how it can be achieved.

• Weak Recommendation: “Something should be done to address air pollution.”
• Strong Recommendation: “Local governments should implement low-emission zones in urban areas to reduce air pollution caused by vehicle traffic.”

5. Justify Your Recommendations

Provide a rationale for each recommendation by linking it to your research findings. Explain why the recommendation is important and how it can address the problem or gap identified in your study.

6. Categorize Recommendations

If you have multiple recommendations, organize them into categories, such as practical, policy, and research-based, to improve clarity and readability.

7. Conclude with a Call to Action

Encourage the audience to act on your recommendations by emphasizing their significance and potential impact.

Writing Guide for Research Recommendations

• Example: “Our study found that students in underfunded schools are less likely to have access to quality STEM education resources, leading to disparities in academic achievement.”
• Example: “Governments should allocate additional funding to schools in low-income areas to improve access to STEM education resources.”
• Example: “This intervention can address educational disparities and increase opportunities for students to pursue STEM careers.”
• Example: “This funding could be used to train teachers, purchase laboratory equipment, and develop extracurricular STEM programs.”
• Example: “By investing in STEM education, policymakers can foster innovation and economic growth while reducing educational inequities.”

Common Pitfalls to Avoid

• Vague Recommendations: Avoid general statements that lack actionable details.
• Unrealistic Suggestions: Ensure your recommendations are practical and achievable within the constraints of your audience.
• Ignoring Stakeholder Needs: Tailor your recommendations to the specific goals and capacities of the target audience.
• Failing to Justify Recommendations: Always connect your suggestions to the research findings to enhance credibility.

Research recommendations bridge the gap between findings and real-world impact, offering actionable solutions for addressing challenges or advancing knowledge. By crafting clear, relevant, and well-justified recommendations, researchers can ensure their work contributes meaningfully to their field and benefits stakeholders. Whether addressing practical, policy, or research-based needs, effective recommendations demonstrate the value of the research and its potential to drive positive change.

• Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . Sage Publications.
• Bryman, A. (2016). Social Research Methods . Oxford University Press.
• Silverman, D. (2020). Interpreting Qualitative Data . Sage Publications.
• Robson, C., & McCartan, K. (2016). Real World Research . Wiley.
• Booth, W. C., Colomb, G. G., & Williams, J. M. (2016). The Craft of Research . University of Chicago Press.

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Writing Effective Conclusions and Recommendations in a Thesis

Writing a thesis is a monumental task that involves multiple stages, from formulating a research question to analyzing data. However, the final stage – writing the conclusion and recommendations – is perhaps one of the most crucial parts of the thesis. It’s where you wrap up your research, summarize key findings, and offer actionable recommendations based on your work. But how do you ensure that these sections are impactful, clear, and aligned with your research objectives? In this blog post, we’ll explore how to craft effective conclusions and recommendations that will leave a lasting impression on your readers.

Table of Contents

• Understanding the Purpose of Conclusions and Recommendations
• What is the conclusion?
• What are recommendations?
• How to Write an Effective Conclusion
• 1. Restate the research objectives
• 2. Summarize the key findings
• 3. Discuss the significance of your findings
• 4. Address the limitations
• 5. Conclude with a strong closing statement
• How to Write Effective Recommendations
• 1. Link recommendations to research findings
• 2. Prioritize recommendations
• 3. Make recommendations actionable and realistic
• 4. Be clear and concise
• 5. Acknowledge potential challenges
• Common Mistakes to Avoid in Conclusions and Recommendations

Understanding the Purpose of Conclusions and Recommendations 🔗

Before diving into the “how,” it’s essential to grasp the “why” of conclusions and recommendations. These two sections are the final opportunity to communicate the significance of your research. Let’s break down their roles:

What is the conclusion? 🔗

The conclusion is your chance to succinctly summarize the core findings of your research. It is not a mere repetition of results; rather, it synthesizes the information presented earlier in your thesis. The conclusion should answer the research question or hypothesis, discuss whether the objectives were achieved, and explain the implications of your findings.

What are recommendations? 🔗

Recommendations go beyond summarizing research findings. They provide actionable steps for future research or practical applications of your work. Recommendations can be aimed at various stakeholders: researchers, policymakers, or practitioners. They should be feasible, realistic, and based on the evidence you’ve gathered.

How to Write an Effective Conclusion 🔗

Writing a conclusion requires a careful balance. You must be concise yet comprehensive, summarizing your research without introducing new information. Here are some key steps to crafting an effective conclusion:

1. Restate the research objectives 🔗

Your conclusion should begin by reminding readers of the primary objectives of your research. This provides context and ensures that the conclusion stays focused on the research question. Briefly restate your aim and scope, reiterating why the research was conducted in the first place. However, avoid going into excessive detail; just enough to set the stage for the findings.

2. Summarize the key findings 🔗

Once you’ve reminded the reader of the research goals, it’s time to summarize the key findings. This is where you condense the main insights that emerged from your research. The summary should be clear, concise, and tied back to your original research question. The goal is to highlight the most important findings that answer your research question.

For example, if your research investigated the impact of online learning on student performance, your conclusion might mention how the data showed significant improvements in performance for students using certain online tools, and moderate results for others. However, avoid repeating statistical analyses verbatim; instead, focus on the implications of your findings.

3. Discuss the significance of your findings 🔗

After summarizing the findings, the next step is to explain their significance. What do these results mean in the larger context? How do they contribute to existing knowledge? This is your opportunity to demonstrate the value of your work and highlight its contributions to your field.

For instance, if your research on online learning shows that specific tools enhance engagement, you could discuss how your findings align with previous studies or how they challenge existing theories.

4. Address the limitations 🔗

No research is perfect, and acknowledging limitations enhances the credibility of your work. Discuss any weaknesses in your study, such as methodological constraints, sample size limitations, or external factors that may have influenced the results. This shows self-awareness and a thorough understanding of the research process.

However, be careful not to dwell too much on the limitations. The conclusion should remain focused on the positive aspects of your research, while being honest about its constraints. For example, if you conducted a survey with a small sample, you might note that the findings are limited in scope, but still provide valuable insights into the subject matter.

5. Conclude with a strong closing statement 🔗

Your conclusion should end with a final thought that reinforces the importance of your research. This could be a statement about the implications of your work, or a broader reflection on the research topic. Keep the closing statement clear and direct, leaving readers with a sense of closure and understanding.

How to Write Effective Recommendations 🔗

The recommendations section is where you offer practical advice based on your research findings. Crafting effective recommendations involves more than just suggesting what could be done next – it’s about providing actionable, evidence-backed steps. Here’s how to approach this critical section:

1. Link recommendations to research findings 🔗

Your recommendations should be directly informed by your research findings. Avoid vague suggestions like “more research is needed.” Instead, your recommendations should address specific issues uncovered in your study. For example, if your research on online learning revealed that certain tools helped improve engagement, a recommendation could be to integrate these tools more widely into the curriculum.

2. Prioritize recommendations 🔗

Not all recommendations are of equal importance. Prioritize them based on the findings of your research. Some recommendations may be urgent and critical, while others may be more exploratory or future-oriented. Prioritizing them ensures that your readers can focus on what matters most.

For instance, if your study finds that a particular educational tool significantly enhances student engagement, you might prioritize the recommendation to adopt this tool over suggestions for minor improvements in course design.

3. Make recommendations actionable and realistic 🔗

Recommendations should be practical and feasible. Ensure that they are not overly ambitious or unrealistic. If you suggest future research, outline specific areas that need exploration and provide a clear plan for how it can be carried out. If you recommend policy changes or practical actions, make sure they are implementable within existing resources and constraints.

For example, if your research on remote working identifies barriers in communication, a recommendation might be to establish clearer guidelines for virtual meetings, rather than suggesting an overhaul of the entire organizational structure.

4. Be clear and concise 🔗

Like the conclusion, the recommendations should be clear and direct. Avoid ambiguity, and make sure each recommendation is easily understood. Avoid using jargon or complex terms that may confuse the reader. Use bullet points to highlight individual recommendations for easy readability.

5. Acknowledge potential challenges 🔗

It’s important to acknowledge the challenges of implementing your recommendations. This shows that you’ve carefully considered potential obstacles and are offering realistic solutions. For example, if your recommendation involves adopting a new technology, you could mention the potential costs, the need for training, or the resistance to change that might be encountered.

Common Mistakes to Avoid in Conclusions and Recommendations 🔗

While writing conclusions and recommendations, many researchers fall into the trap of making the following mistakes:

• Overloading with information: Avoid the temptation to restate all the details from your thesis. Instead, focus on the most significant points and ensure your writing is concise.
• Introducing new data: Don’t introduce new information or findings in these sections. The conclusion should summarize the research you’ve already presented.
• Being vague in recommendations: Recommendations should be specific and actionable. Avoid being overly general or abstract.
• Ignoring limitations: Not addressing the limitations of your study can make your thesis seem incomplete or overly optimistic. Acknowledge any weaknesses, even if they don’t detract from your findings.

Conclusion 🔗

Writing the conclusion and recommendations sections of a thesis is an opportunity to synthesize your research, reflect on its significance, and offer practical insights for future work. A strong conclusion summarizes the research and highlights its impact, while effective recommendations guide future research and practical applications. By linking your findings to actionable steps and being clear, concise, and realistic, you’ll create a lasting impression with your readers.

What do you think? How do you approach writing your thesis conclusion? Have you encountered any challenges while drafting recommendations? Share your thoughts in the comments below!

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Research Methodology

1 Introduction to Research in General

• Research in General
• Research Circle
• Tools of Research
• Methods: Quantitative or Qualitative
• The Product: Research Report or Papers

2 Original Unity of Philosophy and Science

• Myth Philosophy and Science: Original Unity
• The Myth: A Spiritual Metaphor
• Myth Philosophy and Science
• The Greek Quest for Unity
• The Ionian School
• Towards a Grand Unification Theory or Theory of Everything
• Einstein’s Perennial Quest for Unity

3 Evolution of the Distinct Methods of Science

• Definition of Scientific Method
• The Evolution of Scientific Methods
• Theory-Dependence of Observation
• Scope of Science and Scientific Methods
• Prevalent Mistakes in Applying the Scientific Method

4 Relation of Scientific and Philosophical Methods

• Definitions of Scientific and Philosophical method
• Philosophical method
• Scientific method
• The relation
• The Importance of Philosophical and scientific methods

5 Dialectical Method

• Introduction and a Brief Survey of the Method
• Types of Dialectics
• Dialectics in Classical Philosophy
• Dialectics in Modern Philosophy
• Critique of Dialectical Method

6 Rational Method

• Understanding Rationalism
• Rational Method of Investigation
• Descartes’ Rational Method
• Leibniz’ Aim of Philosophy
• Spinoza’ Aim of Philosophy

7 Empirical Method

• Common Features of Philosophical Method
• Empirical Method
• Exposition of Empiricism
• Locke’s Empirical Method
• Berkeley’s Empirical Method
• David Hume’s Empirical Method

8 Critical Method

• Basic Features of Critical Theory
• On Instrumental Reason
• Conception of Society
• Human History as Dialectic of Enlightenment
• Substantive Reason
• Habermasian Critical Theory
• Habermas’ Theory of Society
• Habermas’ Critique of Scientism
• Theory of Communicative Action
• Discourse Ethics of Habermas

9 Phenomenological Method (Western and Indian)

• Phenomenology in Philosophy
• Phenomenology as a Method
• Phenomenological Analysis of Knowledge
• Phenomenological Reduction
• Husserl’s Triad: Ego Cogito Cogitata
• Intentionality
• Understanding ‘Consciousness’
• Phenomenological Method in Indian Tradition
• Phenomenological Method in Religion

10 Analytical Method (Western and Indian)

• Analysis in History of Philosophy
• Conceptual Analysis
• Analysis as a Method
• Analysis in Logical Atomism and Logical Positivism
• Analytic Method in Ethics
• Language Analysis
• Quine’s Analytical Method
• Analysis in Indian Traditions

11 Hermeneutical Method (Western and Indian)

• The Power (Sakti) to Convey Meaning
• Three Meanings
• Pre-understanding
• The Semantic Autonomy of the Text
• Towards a Fusion of Horizons
• The Hermeneutical Circle
• The True Scandal of the Text
• Literary Forms

12 Deconstructive Method

• The Seminal Idea of Deconstruction in Heidegger
• Deconstruction in Derrida
• Structuralism and Post-structuralism
• Sign Signifier and Signified
• Writing and Trace
• Deconstruction as a Strategic Reading
• The Logic of Supplement
• No Outside-text

13 Method of Bibliography

• Preparing to Write
• Writing a Paper
• The Main Divisions of a Paper
• Writing Bibliography in Turabian and APA
• Sample Bibliography

14 Method of Footnotes

• Citations and Notes
• General Hints for Footnotes
• Writing Footnotes
• Examples of Footnote or Endnote
• Example of a Research Article

15 Method of Notes Taking

• Methods of Note-taking
• Note Book Style
• Note taking in a Computer
• Types of Note-taking
• Notes from Field Research
• Errors to be Avoided

16 Method of Thesis Proposal and Presentation

• Preliminary Section
• Presenting the Problem of the Thesis
• Design of the Study
• Main Body of the Thesis
• Conclusion Summary and Recommendations
• Reference Material

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Research Implications & Recommendations

By: Derek Jansen (MBA) | Expert Reviewer: Dr Eunice Rautenbach | May 2024

T he research implications and recommendations are closely related but distinctly different concepts that often trip students up. Here, we’ll unpack them using plain language and loads of examples , so that you can approach your project with confidence.

Overview: Implications & Recommendations

• What are research implications ?
• What are research recommendations ?
• Examples of implications and recommendations
• The “ Big 3 ” categories
• How to write the implications and recommendations
• Template sentences for both sections
• Key takeaways

Implications & Recommendations 101

Let’s start with the basics and define our terms.

At the simplest level, research implications refer to the possible effects or outcomes of a study’s findings. More specifically, they answer the question, “ What do these findings mean?” . In other words, the implications section is where you discuss the broader impact of your study’s findings on theory, practice and future research.

This discussion leads us to the recommendations section , which is where you’ll propose specific actions based on your study’s findings and answer the question, “ What should be done next?” . In other words, the recommendations are practical steps that stakeholders can take to address the key issues identified by your study.

In a nutshell, then, the research implications discuss the broader impact and significance of a study’s findings, while recommendations provide specific actions to take, based on those findings. So, while both of these components are deeply rooted in the findings of the study, they serve different functions within the write up.

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Examples: Implications & Recommendations

The distinction between research implications and research recommendations might still feel a bit conceptual, so let’s look at one or two practical examples:

Let’s assume that your study finds that interactive learning methods significantly improve student engagement compared to traditional lectures. In this case, one of your recommendations could be that schools incorporate more interactive learning techniques into their curriculums to enhance student engagement.

Let’s imagine that your study finds that patients who receive personalised care plans have better health outcomes than those with standard care plans. One of your recommendations might be that healthcare providers develop and implement personalised care plans for their patients.

Now, these are admittedly quite simplistic examples, but they demonstrate the difference (and connection ) between the research implications and the recommendations. Simply put, the implications are about the impact of the findings, while the recommendations are about proposed actions, based on the findings.

The “Big 3” Categories

Now that we’ve defined our terms, let’s dig a little deeper into the implications – specifically, the different types or categories of research implications that exist.

Broadly speaking, implications can be divided into three categories – theoretical implications, practical implications and implications for future research .

Theoretical implications relate to how your study’s findings contribute to or challenge existing theories. For example, if a study on social behaviour uncovers new patterns, it might suggest that modifications to current psychological theories are necessary.

Practical implications , on the other hand, focus on how your study’s findings can be applied in real-world settings. For example, if your study demonstrated the effectiveness of a new teaching method, this would imply that educators should consider adopting this method to improve learning outcomes.

Practical implications can also involve policy reconsiderations . For example, if a study reveals significant health benefits from a particular diet, an implication might be that public health guidelines be re-evaluated.

Last but not least, there are the implications for future research . As the name suggests, this category of implications highlights the research gaps or new questions raised by your study. For example, if your study finds mixed results regarding a relationship between two variables, it might imply the need for further investigation to clarify these findings.

To recap then, the three types of implications are the theoretical, the practical and the implications on future research. Regardless of the category, these implications feed into and shape the recommendations , laying the foundation for the actions you’ll propose.

How To Write The Sections

Now that we’ve laid the foundations, it’s time to explore how to write up the implications and recommendations sections respectively.

Let’s start with the “ where ” before digging into the “ how ”. Typically, the implications will feature in the discussion section of your document, while the recommendations will be located in the conclusion . That said, layouts can vary between disciplines and institutions, so be sure to check with your university what their preferences are.

For the implications section, a common approach is to structure the write-up based on the three categories we looked at earlier – theoretical, practical and future research implications. In practical terms, this discussion will usually follow a fairly formulaic sentence structure – for example:

This research provides new insights into [theoretical aspect], indicating that…

The study’s outcomes highlight the potential benefits of adopting [specific practice] in..

This study raises several questions that warrant further investigation, such as…

Moving onto the recommendations section, you could again structure your recommendations using the three categories. Alternatively, you could structure the discussion per stakeholder group – for example, policymakers, organisations, researchers, etc.

Again, you’ll likely use a fairly formulaic sentence structure for this section. Here are some examples for your inspiration: 

Based on the findings, [specific group] should consider adopting [new method] to improve…

To address the issues identified, it is recommended that legislation should be introduced to…

Researchers should consider examining [specific variable] to build on the current study’s findings.

Remember, you can grab a copy of our tried and tested templates for both the discussion and conclusion sections over on the Grad Coach blog. You can find the links to those, as well as loads of other free resources, in the description 🙂

FAQs: Implications & Recommendations

Research implications & recommendations, how do i determine the implications of my study.

To do this, you’ll need to consider how your findings address gaps in the existing literature, how they could influence theory, practice, or policy, and the potential societal or economic impacts.

When thinking about your findings, it’s also a good idea to revisit your introduction chapter, where you would have discussed the potential significance of your study more broadly. This section can help spark some additional ideas about what your findings mean in relation to your original research aims. 

Should I discuss both positive and negative implications?

Absolutely. You’ll need to discuss both the positive and negative implications to provide a balanced view of how your findings affect the field and any limitations or potential downsides.

Can my research implications be speculative?

Yes and no. While implications are somewhat more speculative than recommendations and can suggest potential future outcomes, they should be grounded in your data and analysis. So, be careful to avoid overly speculative claims.

How do I formulate recommendations?

Ideally, you should base your recommendations on the limitations and implications of your study’s findings. So, consider what further research is needed, how policies could be adapted, or how practices could be improved – and make proposals in this respect.

How specific should my recommendations be?

Your recommendations should be as specific as possible, providing clear guidance on what actions or research should be taken next. As mentioned earlier, the implications can be relatively broad, but the recommendations should be very specific and actionable. Ideally, you should apply the SMART framework to your recommendations.

Can I recommend future research in my recommendations?

Absolutely. Highlighting areas where further research is needed is a key aspect of the recommendations section. Naturally, these recommendations should link to the respective section of your implications (i.e., implications for future research).

Wrapping Up: Key Takeaways

We’ve covered quite a bit of ground here, so let’s quickly recap.

• Research implications refer to the possible effects or outcomes of a study’s findings.
• The recommendations section, on the other hand, is where you’ll propose specific actions based on those findings.
• You can structure your implications section based on the three overarching categories – theoretical, practical and future research implications.
• You can carry this structure through to the recommendations as well, or you can group your recommendations by stakeholder.

Remember to grab a copy of our tried and tested free dissertation template, which covers both the implications and recommendations sections. If you’d like 1:1 help with your research project, be sure to check out our private coaching service, where we hold your hand throughout the research journey, step by step.

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How to Write Citation? | A Practical Guide for Citation and References

How to Write References Quickly and Accurately? | A Practical Guide

Writing research recommendations involves suggesting future research directions or actions that can be taken based on the findings of a research study. The most crucial element of the analysis process, recommendations, is where you provide specific suggestions for interventions or solutions to the problems and limitations found throughout the assessment.

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The following guideline will help you explore how to write recommendations : 

What are the Recommendations?

Research recommendations are suggestions for future research based on the findings of a research study. The researcher may make these recommendations, or they may be requested by the publisher, funding agency, or other stakeholders who have an interest in the research. The purpose of research recommendations is to identify areas where further investigation is needed and to provide direction for future research in the field.

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The recommendation section, whether it is included in the discussion section or conclusion, should involve the following:

• The research questions that the recommendation addresses.
• A concise summary of the findings from the research.
• The implications of the findings for practice.
• The strengths and limitations of the research.
• How do the findings relate to other research in the field?
• Recommendations for further research.

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What kind of recommendations are appropriate.

The appropriateness of recommendations depends on the research study and the research field. Generally, research recommendations should be based on the findings of the study and should address research gaps or limitations. Here are some types of recommendations that may be appropriate:

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1- Further Investigations

Suggest further investigations into specific research questions or hypotheses. This can include exploring new variables, testing different methods, or using different samples.

2- Development of New Research Methods or Techniques

Propose new research methods or techniques that can be used to address research questions or improve the quality of research.

3- Replication of the Study

Recommend replication of the study with larger or more diverse samples to increase the generalizability of the findings.

4- Extension of the Study

Suggest extending the study to different populations or contexts to explore the generalizability of the findings.

5- Collaboration with Other Researchers

Recommend collaboration with other researchers or research teams to leverage expertise and resources.

6- Integration of the Study Findings into Policy or Practice

Suggest ways in which the study findings can be used to inform policy or practice in the relevant field.

7- Addressing Limitations or Gaps in the Current Research Literature

Propose ways the study findings can address limitations or gaps in the current research literature.

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Structuring of Recommendations

When learning how to write recommendations, start with structuring the recommendations section.

1- Summarize your Research Findings

Before making any recommendations, briefly summarise your study's key findings. This will provide context for your recommendations and ensure that they are relevant to the research topic.

2- Identify Research Gaps

Based on your research findings, identify gaps in the literature or areas requiring further investigation. Consider the limitations of your study and the potential implications of your findings.

3- Prioritize Recommendations

Determine the most important recommendations based on their potential impact and feasibility. You may want to organize your recommendations into short-term and long-term goals.

4- Provide Clear and Specific Recommendations

Your recommendations should be concise and specific. Avoid vague or general statements and provide actionable steps that can be taken to address the research gaps you have identified.

5- Justify Your Recommendations

Provide a rationale for each of your recommendations, explaining why they are necessary and how they will contribute to the overall research field.

6- Consider Potential Challenges

Be sure to consider potential challenges or limitations that may arise in implementing your recommendations. Provide suggestions for overcoming these challenges where possible.

7- Conclude with a Summary

End your recommendations with a brief summary of your main points. This will help reinforce the importance of your recommendations and ensure they are clearly understood.

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Remember to tailor your recommendations to your specific research study and field of study. Keep in mind that your recommendations should be based on evidence and have practical applications for researchers, practitioners, or policymakers.

Building Concrete Research Recommendations

• The research process should be systematic and logical.
• Conduct the research in an objective and unbiased manner.
• The research findings should be reproducible.
• The research recommendations should be made with a concrete plan in mind.
• The research recommendations should be based on a solid foundation of evidence.
• The research recommendations should be clear and concise.
• The research recommendations should be achievable and realistic.
• The research recommendations should be made to further the research project's goals.
• They should be made to improve the quality of the research project.
• The research recommendations should make the research project more efficient.
• The recommendations should make the research project more effective.
• The research recommendations must aid in making the research project more successful.

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What is the Smart Strategy for Writing Research Recommendations?

In academic writing, there are generally three types of Recommendations:

• Obligations

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Recommendations can be further characterized as "SMART" or "non-SMART." A SMART Recommendation is one that is Specific, Measurable, Actionable, Realistic, and Time-bound. The following sections will provide more information on each of these characteristics.

• A Recommendation is " Specific " if it clearly spells out what actions need to take place, who needs to take those actions, and when they need to occur.
• A Recommendation is " Measurable " if specified indicators can be used to gauge whether it has successfully achieved its objectives.
• A Recommendation is " Actionable " if the necessary steps required to implement the recommendation are spelt out and achievable.
• A Recommendation is " Realistic " if it is achievable given the available resources (e.g., time, money, human resources).
• Finally, a Recommendation is " Time - bound " if there is a specified timeframe within which the recommendation should be achieved.

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What are the Dos and Don'ts of Research Recommendations? 

1- be specific.

Provide clear and specific recommendations that are relevant to the research study and the field of study. Use precise language and avoid vague or general statements.

2- Support Your Recommendations with Evidence

Base your recommendations on the research study's findings and other relevant literature. Provide evidence to support your recommendations and explain why they are necessary.

Identify and prioritise the most important recommendations based on their potential impact and feasibility.

4- Consider Practical Applications

Ensure that your recommendations have practical applications for researchers, practitioners, or policymakers. Think about how your recommendations can be implemented in practice and how they can contribute to the field.

5- Be Concise

Keep your recommendations concise and to the point. Avoid unnecessary details or explanations.

6- Provide a Rationale

Explain the rationale for each of your recommendations and how they will contribute to the overall research field.

1- Make Unsupported Claims

Avoid making claims that are not supported by evidence. Make sure that your recommendations are based on the research study's findings and other relevant literature.

2- Overgeneralize

Avoid overgeneralizing your recommendations. Make sure that your recommendations are specific to the research study and field.

3- Ignore Potential Challenges

Consider potential challenges or limitations that may arise in implementing your recommendations. Provide suggestions for overcoming these challenges where possible.

4- Disregard Practical Considerations

Ensure that your recommendations are practical and feasible. Consider the resources and constraints of the research field and how your recommendations can be implemented in practice.

5- Be Too Prescriptive

Avoid being too prescriptive in your recommendations. Provide guidance and direction, but allow room for interpretation and adaptation.

By following these dos and don'ts, you can ensure that your research recommendations are well-supported, relevant, and practical and will make a meaningful contribution to the research field.

Learn the Best Way to Write Acknowledgements

Explore the Current Samples of Acknowledgement

It is frequently the case that further research is needed to facilitate the advancement of a study. In your research plans, you can analyze potential study methodologies and the points regarding a subject that might be covered in such research.

The recommendations you include in your paper could be crucial to your research. Make sure your essay has clear recommendations that are simple to implement, can be used effectively, and are not unduly complex or challenging in any other manner. If you need further help writing recommendations, contact us via email or web chat.

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How to Write Recommendations in Research | Examples & Tips

Published on 15 September 2022 by Tegan George .

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

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

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Table of contents

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

Recommendations for future research should be:

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

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

Relatedly, when making these recommendations, avoid:

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

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

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

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

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

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

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

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

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

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

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

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

For a stronger dissertation conclusion , avoid including:

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

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

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

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

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

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

But, what is a research recommendation?

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

Difference Between Research Recommendations and Implication

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

Types of Research Recommendations

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

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

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

Key Components of Research Recommendations

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

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

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

How to Write Research Recommendations?

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

1. Understand the Research Question:

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

2. Review Existing Literature:

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

3. Consider Research Methods:

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

4. Identify Data Collection Techniques:

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

5. Propose Data Analysis Methods:

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

6. Consider Limitations and Ethical Considerations:

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

7. Justify Recommendations:

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

8. Summarize Recommendations:

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

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

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

Example of a Research Recommendation

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

Research Recommendation: Enhancing Student Learning through Integrated Learning Platforms

Background:

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

Recommendation:

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

• Implementation of the Integrated Learning Platform:

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

• Professional Development for Educators:

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

• Monitoring and Evaluation:

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

• Resource Allocation:

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

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

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

Using AI in Research Recommendation Writing

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

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

1. Data Bias

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

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

2. Lack of Understanding of Context:

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

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

3. Ethical Considerations:

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

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

4. Lack of Creativity and Intuition:

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

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

5. Interpretability:

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

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

6. Dynamic Nature of Research:

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

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

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

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

Frequently Asked Questions

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

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

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

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How to Write an “Implications of Research” Section

4-minute read

• 24th October 2022

When writing research papers , theses, journal articles, or dissertations, one cannot ignore the importance of research. You’re not only the writer of your paper but also the researcher ! Moreover, it’s not just about researching your topic, filling your paper with abundant citations, and topping it off with a reference list. You need to dig deep into your research and provide related literature on your topic. You must also discuss the implications of your research.

Interested in learning more about implications of research? Read on! This post will define these implications, why they’re essential, and most importantly, how to write them. If you’re a visual learner, you might enjoy this video .

What Are Implications of Research?

Implications are potential questions from your research that justify further exploration. They state how your research findings could affect policies, theories, and/or practices.

Implications can either be practical or theoretical. The former is the direct impact of your findings on related practices, whereas the latter is the impact on the theories you have chosen in your study.

Example of a practical implication: If you’re researching a teaching method, the implication would be how teachers can use that method based on your findings.

Example of a theoretical implication: You added a new variable to Theory A so that it could cover a broader perspective.

Finally, implications aren’t the same as recommendations, and it’s important to know the difference between them .

Questions you should consider when developing the implications section:

●  What is the significance of your findings?

●  How do the findings of your study fit with or contradict existing research on this topic?

●  Do your results support or challenge existing theories? If they support them, what new information do they contribute? If they challenge them, why do you think that is?

Why Are Implications Important?

You need implications for the following reasons:

● To reflect on what you set out to accomplish in the first place

● To see if there’s a change to the initial perspective, now that you’ve collected the data

● To inform your audience, who might be curious about the impact of your research

How to Write an Implications Section

Usually, you write your research implications in the discussion section of your paper. This is the section before the conclusion when you discuss all the hard work you did. Additionally, you’ll write the implications section before making recommendations for future research.

Implications should begin with what you discovered in your study, which differs from what previous studies found, and then you can discuss the implications of your findings.

Your implications need to be specific, meaning you should show the exact contributions of your research and why they’re essential. They should also begin with a specific sentence structure.

Examples of starting implication sentences:

●  These results build on existing evidence of…

●  These findings suggest that…

●  These results should be considered when…

●  While previous research has focused on x , these results show that y …

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You should write your implications after you’ve stated the results of your research. In other words, summarize your findings and put them into context.

The result : One study found that young learners enjoy short activities when learning a foreign language.

The implications : This result suggests that foreign language teachers use short activities when teaching young learners, as they positively affect learning.

 Example 2

The result : One study found that people who listen to calming music just before going to bed sleep better than those who watch TV.

The implications : These findings suggest that listening to calming music aids sleep quality, whereas watching TV does not.

To summarize, remember these key pointers:

●  Implications are the impact of your findings on the field of study.

●  They serve as a reflection of the research you’ve conducted.              

●  They show the specific contributions of your findings and why the audience should care.

●  They can be practical or theoretical.

●  They aren’t the same as recommendations.

●  You write them in the discussion section of the paper.

●  State the results first, and then state their implications.

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Recommendations in your thesis

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When should you give recommendations?

Where do you place recommendations in your thesis, recommendations vs. conclusions, examples of thesis recommendations, what criteria should good recommendations meet, implementing the recommendations from your thesis, have you overlooked anything in your thesis.

Are you writing your thesis for a client? Then it is common to present recommendations at the end of your thesis. These are possible solutions or measures with which the client can solve a particular problem or achieve a goal. Of course, your recommendations must be applicable and thus meet several conditions. 

Usually, you give recommendations when you write your thesis for a client. In general, recommendations are common if your research question aims to solve a problem. Is your research more descriptive or explanatory? Then recommendations are not always necessary. 

Even if you are not writing your thesis for a client, you can make recommendations. For example, these could be recommendations for a broad professional group or certain bodies. 

It is common to include the recommendations in a separate chapter that follows the conclusion and discussion. Sometimes you dedicate a separate advisory report to the recommendations. Usually, you will receive guidelines for this from your educational institution or the client. 

The recommendations in your thesis are not formulated out of thin air. They are based on the conclusions you have drawn from your research. You must substantiate each recommendation. Briefly state why you think this particular measure will yield results. Furthermore, state the result you expect from it.

Since your recommendations derive from your conclusions, there is no need to refer to sources again in the justification for your recommendations.

Suppose you have done research for a meat substitute manufacturer. You have researched on their behalf how flexitarians view this brand's current product range. The problem the client is facing is that they are not reaching enough flexitarians and want to sell more products to this target group. Your research shows that in some respects the product offering does not match what flexitarians are looking for.

Your recommendation could then be, for example:

It is recommended that brand X develops more products that resemble the texture of meat. After all, this is what flexitarians are looking for in the supermarket and competitors offer only a limited range for this. Thus, it is here that there are opportunities for brand X to increase their reach and sales among flexitarians. 

It is important that your recommendations are executable in several ways:

The recommendations should fit within the available budget. 

The recommendations must contribute to the outcome envisioned by the client. 

Your recommendations should not violate any laws or regulations. 

The recommendations must fit into the client's schedule. 

Your recommendations should be concrete. The client needs to know exactly what to do. 

Discuss the prerequisites with your client beforehand. Then you will know what requirements the recommendations in your thesis have to meet. Does your client not mention any requirements? Then you are free in how you formulate them,as long as they are realistic. 

Ideally, your client will choose to implement the recommendations from your thesis. In other words, the client will want to put your recommendations into practice. Is it already certain that your client will do that? Then you can write an implementation plan. In it, you describe step by step how the client can implement your solution. 

Besides the recommendations, your thesis consists of many other parts. Want to make sure you haven’t overlooked anything? Check out our information on the thesis structure . Here, you will find links to all our articles on the various thesis components.