A research proposal is a structured plan for a study.
It explains what you intend to investigate, why the investigation matters, what existing knowledge says about the subject, how you intend to conduct the research, and what the proposed study is expected to contribute.
A proposal may be required before beginning an undergraduate research project, postgraduate dissertation, master’s thesis, doctoral study, institutional research project, consultancy investigation, grant application, or other formal research activity.
The exact requirements vary between universities, departments, funding organisations, journals, and research institutions. Some institutions require a short proposal while others require a detailed document covering the research problem, literature, methodology, ethics, budget, timetable, and expected contribution.
This guide explains the major components of a research proposal and shows how they fit together.
A research proposal is a document that presents a planned research project before the research is carried out.
It normally answers several fundamental questions:
A proposal is therefore more than an introduction to a research topic.
It is a research plan supported by an argument for why the study should be conducted.
A good proposal helps demonstrate that the proposed study is:
It also gives the researcher an opportunity to identify problems before investing substantial time in data collection and analysis.
For example, developing a proposal may reveal that:
Discovering these issues during the planning stage can prevent major problems later.
A proposal and a completed research report serve different purposes.
A research proposal explains what you intend to do.
A research report, thesis, dissertation, or final research paper explains what you actually did, what you found, and what those findings mean.
A proposal may therefore contain:
A completed study contains:
Do not write a proposal as though the research has already been completed unless your institution specifically requires a retrospective or completed-study proposal format.
The exact structure varies, but many proposals contain some combination of:
Not every proposal needs every section.
Always check the requirements of the institution, supervisor, department, funder, journal, or organisation requesting the proposal.
Before writing large sections of a proposal, identify the problem the study is intended to investigate.
A research problem can arise from:
The problem should be more specific than simply saying that a topic is important.
For example:
Weak:
Artificial intelligence is becoming increasingly important in education.
This is a general observation.
Stronger:
Although generative AI tools are increasingly available to university students, there remains a need to understand how students use these tools for academic work and what factors influence responsible or inappropriate use.
The second statement identifies an issue that can be investigated.
The background provides context for the research problem.
It should help the reader understand how the issue has developed and why the proposed investigation is relevant.
Depending on the subject, a background section might discuss:
The background should move toward the research problem rather than becoming an unrelated history lesson.
A useful progression is:
Broad context → specific context → existing evidence → unresolved issue → research problem
The problem statement is one of the most important parts of a research proposal.
It should make clear:
A useful problem statement often moves from the known to the unknown.
For example:
Digital payment systems have expanded rapidly among small businesses. Existing research has examined adoption rates and general benefits, but less attention may have been given to the operational challenges experienced by small businesses after adoption. This creates a need to investigate the practical difficulties associated with continued use.
The exact claims should be supported by appropriate sources.
Avoid inventing a research gap simply because it makes the proposal sound more original.
Research questions define what the study will investigate.
They should emerge naturally from the research problem.
For example:
Research problem:
Small businesses increasingly use digital payment systems, but the operational challenges associated with continued use are not sufficiently understood.
Possible research questions:
The questions should be sufficiently focused to guide the methodology.
For detailed guidance, see the:
Research Question Guide
/guides/academic-writing-guides/research-question-guide
Research objectives translate the research questions into specific activities or intended outcomes.
For example:
Research question:
What operational challenges do small businesses experience when using digital payment systems?
Corresponding objective:
To examine the operational challenges experienced by small businesses when using digital payment systems.
The objectives should align with the questions rather than introducing unrelated areas of investigation.
For detailed guidance, see:
Research Objectives Guide
/guides/academic-writing-guides/research-objectives-guide
Some proposals include a general research aim.
The aim describes the overall purpose of the study.
For example:
To investigate the operational challenges associated with the use of digital payment systems among small businesses.
The objectives then break this broader purpose into manageable components.
A useful relationship is:
Aim → Objectives → Research Questions → Methodology → Analysis
These components should tell a consistent story.
The significance section explains why the proposed research matters.
Potential beneficiaries may include:
However, avoid making exaggerated claims.
Instead of writing:
This study will completely transform the digital payment industry.
A more defensible statement would be:
The findings may provide useful evidence for small businesses and other stakeholders seeking to understand operational challenges associated with digital payment adoption.
The proposed contribution should match the scale of the research.
A proposal literature review demonstrates that the researcher understands the existing body of knowledge surrounding the problem.
It should not simply become a list of summaries.
A strong literature review can:
The literature review should therefore support the proposal’s argument.
A useful structure may involve:
Existing knowledge → major themes → contrasting findings → limitations → gap → proposed research
For detailed guidance, see:
/guides/academic-writing-guides/literature-review-guide
Use sources appropriate to the research question.
Depending on the discipline, useful sources may include:
Be cautious with sources that have unclear authorship, unsupported claims, outdated information, or commercial motivations that are not disclosed.
Source quality should be considered alongside relevance and currency.
Some research proposals require a theoretical framework.
A theoretical framework identifies theories or established conceptual perspectives that help explain the phenomenon being studied.
For example, a study concerning technology adoption might draw on an established technology adoption theory.
The framework should not be included merely because a proposal template contains the heading.
Explain:
Different disciplines use theoretical frameworks differently.
A conceptual framework presents the key concepts or variables relevant to the proposed study and explains how they are expected to relate.
For a quantitative study, a conceptual framework might identify:
Independent variables → dependent variable
For example:
Employee training → Employee performance
Additional variables may include:
For qualitative research, a conceptual framework may instead organise important concepts, themes, relationships, or dimensions of the phenomenon.
Do not force a framework into a format that does not suit the research design.
The methodology explains how the study will be conducted.
It should demonstrate that the chosen methods can answer the research questions.
A methodology section may cover:
The methodology should be specific enough for the reader to understand how the research will work.
A proposal may use:
The appropriate choice depends on the research questions and purpose.
Qualitative research may be appropriate when the study seeks to understand:
Common methods include:
Quantitative research may be appropriate when the study examines:
Common methods include:
Mixed-methods research combines qualitative and quantitative approaches.
It may be appropriate when numerical evidence and detailed contextual understanding are both important.
The two components should have a clear relationship rather than simply being placed together.
Research design describes the overall plan for answering the research questions.
Possible designs include:
The appropriate design depends on the research problem and questions.
Do not select a design simply because it is commonly used.
Explain why the selected design fits the study.
The population identifies the broader group, organisation, records, objects, events, or other units relevant to the study.
For example:
The study population may consist of employees working in selected small technology companies.
The population should be connected directly to the research question.
Avoid defining a population much larger than the project can realistically access.
If the study cannot examine the entire population, a sample may be selected.
Sampling considerations can include:
The choice should be justified.
For qualitative studies, sample adequacy may depend more on the nature of the research and the information required than on statistical representativeness.
Explain how the required evidence will be obtained.
Possible methods include:
For each method, consider:
A proposal may need to identify the instruments that will be used.
Examples include:
The instrument should correspond to the research questions.
For example, if a research question investigates employee experiences, an instrument designed only to collect numerical sales figures would not adequately address the question.
A strong proposal should explain how collected information will be analysed.
For quantitative research, this may involve:
The exact technique depends on the variables and research design.
For qualitative research, analysis may involve:
The proposal does not necessarily need to predict the exact result.
Instead, explain the analytical approach that will be used to answer the research questions.
For more information, see:
/guides/academic-writing-guides/data-analysis-for-research-guide
Ethical considerations are particularly important when research involves people, personal information, sensitive data, organisations, vulnerable groups, or potentially harmful interventions.
Depending on the study, ethical issues may include:
Do not claim that a study is ethically approved unless approval has actually been obtained.
A proposal should distinguish between:
ethical approval will be sought
and:
ethical approval has been obtained.
These statements have different meanings.
Research involving personal information should consider how data will be:
The exact legal requirements depend on the jurisdiction and nature of the research.
Where research involves personal data, researchers should understand the applicable institutional and legal requirements before collecting information.
Scope defines the boundaries of the research.
A proposal may specify:
For example:
The study will focus on selected small businesses operating within the Nairobi metropolitan area during the defined study period.
A clear scope helps prevent the research from expanding beyond manageable limits.
Delimitations are boundaries deliberately established by the researcher.
For example, a study may intentionally focus on:
These choices are part of research design.
Explain why the boundaries are appropriate rather than presenting them as accidental restrictions.
Limitations are factors that may affect the study but are not necessarily fully controlled by the researcher.
Possible limitations include:
Acknowledging limitations does not necessarily weaken a proposal.
A realistic discussion of limitations can demonstrate methodological awareness.
Before finalising a proposal, determine whether the research can actually be completed.
Consider:
Can the project be completed within the available academic or organisational schedule?
Can you reach the required participants, records, organisations, datasets, or locations?
Can the necessary activities be funded?
Do you have the technical and research skills required?
Are the required tools, software, laboratories, databases, or facilities available?
Can the study be conducted responsibly and within applicable ethical requirements?
Will sufficient information be available to answer the research questions?
A smaller feasible project is usually preferable to an ambitious project that cannot be completed properly.
A proposal may include expected outcomes where required.
These should not be presented as predetermined findings.
Instead, explain what the study is expected to contribute.
Possible contributions include:
Avoid writing the expected results as though they have already been established.
A research project can contribute in different ways.
The study may contribute to understanding or evaluating existing theoretical ideas.
The study may provide evidence from a particular population, context, location, or dataset.
The study may demonstrate or evaluate a particular research approach.
The findings may help practitioners, organisations, policymakers, educators, or other stakeholders.
Not every project will make a major contribution in all four areas.
The proposed contribution should be realistic for the scale of the study.
A proposal may include a research schedule.
Typical activities include:
A timeline helps identify unrealistic workloads and dependencies between activities.
For example, data analysis cannot normally begin before the necessary data has been collected and prepared.
Some proposals require a budget.
Possible expenses include:
A budget should reflect actual research requirements rather than adding unnecessary expenses.
Where a project has no meaningful financial costs, do not create artificial expenses merely to make the proposal appear more substantial.
The references section lists the sources cited in the proposal.
Use the referencing style required by the institution or publication.
Common styles include:
Do not mix styles unless the applicable guidelines permit it.
Every source cited in the proposal should be appropriately represented in the reference list according to the selected style.
Appendices can contain supporting material that would interrupt the main proposal if placed in the body.
Depending on the project, appendices may include:
Only include material that is genuinely useful.
A broad subject creates an unmanageable research project.
Narrow the study by considering:
Do not simply write:
There is no research on this topic.
This is difficult to establish and may be incorrect.
A better approach is to explain what existing research has examined and identify a specific limitation, inconsistency, context, population, or question that warrants further investigation.
Every major research question should connect logically to one or more objectives.
If an objective introduces a topic that does not appear in the research questions, review the alignment.
Do not begin with:
I will conduct a survey.
Instead begin with:
What do I need to find out?
Then determine what methodology can answer that question.
Listing a questionnaire, sample, and statistical test is not enough.
Explain why each method is appropriate for the research problem.
A literature review should develop an argument.
Avoid writing:
Author A said this.
Author B said this.
Author C said this.
Instead compare, evaluate, synthesise, and connect the literature to the research problem.
A proposal becomes difficult when it attempts to investigate:
A focused study can produce stronger research than an unnecessarily broad one.
A proposal should not assume that the research will prove the researcher’s preferred conclusion.
Research should allow evidence to support, challenge, or complicate expectations.
Ethical requirements can affect:
Consider ethics while designing the project.
AI tools can assist with brainstorming, organisation, language improvement, or other permitted academic activities, but researchers remain responsible for the accuracy of their work.
Do not treat AI-generated references, statistics, quotations, research findings, or claims as automatically reliable.
Verify important information against appropriate sources.
Follow the academic institution’s rules concerning AI use.
AI tools may potentially assist with tasks such as:
However, responsible academic practice requires the researcher to retain control over the intellectual work.
Before including AI-assisted material:
AI should not become a substitute for reading the relevant literature or understanding the research methodology.
A useful workflow is:
Choose the subject or problem you want to investigate.
Read enough credible material to understand the current discussion.
Determine what remains uncertain, problematic, underexplored, or contested.
Define the population, context, location, time period, variables, or phenomenon.
Turn the problem into focused questions.
Create objectives that directly address the questions.
Identify existing knowledge, theories, methods, disagreements, and gaps.
Choose the approach based on what the research needs to discover.
Identify what information is needed and where it can be obtained.
Check access, resources, time, privacy, consent, and other requirements.
Organise the proposal according to institutional requirements.
Build a coherent argument from the research problem through to the proposed methodology.
Verify the relationship between:
Problem → Aim → Questions → Objectives → Literature → Methodology → Analysis
Remove unnecessary material, clarify ambiguous claims, check sources, and improve logical flow.
A simple alignment matrix can help identify weaknesses.
| Research Element | Question | Objective | Data Required | Analysis |
|---|---|---|---|---|
| Customer satisfaction | What factors influence satisfaction? | To examine factors influencing satisfaction | Customer responses | Statistical analysis |
| Employee experience | How do employees experience remote work? | To explore employee experiences of remote work | Interviews | Thematic analysis |
| Business performance | Does training relate to performance? | To examine the relationship between training and performance | Training and performance data | Correlation or appropriate statistical method |
The exact methods depend on the research design.
The important principle is alignment.
Ask the following questions.
Can I clearly explain what needs investigation?
Can I explain why the study matters?
Can each research question be answered through research?
Do the objectives directly correspond to the questions?
Does the literature review establish the context and justify the study?
Can the proposed methodology actually answer the research questions?
Can I realistically obtain the necessary evidence?
Do I know how the evidence will be analysed?
Have relevant ethical issues been considered?
Is the study manageable?
Can the project realistically be completed with the available time and resources?
Can I explain what the research may add without exaggerating its importance?
If several answers are unclear, revise the proposal before proceeding.
Before submission, check that the proposal:
There is no universal length.
A university may require a short proposal of a few pages, while a postgraduate programme, funding organisation, or doctoral programme may require a much more detailed document.
Always follow the applicable guidelines.
There is no universal number.
The questions should be sufficient to address the research problem without making the study unnecessarily broad.
A smaller number of well-focused questions is often more manageable than a long list of loosely connected questions.
In many research designs, the questions are developed first and the objectives are then formulated to address them.
The exact presentation order may depend on institutional requirements.
The important issue is logical alignment rather than the order of headings alone.
No.
Hypotheses are commonly associated with particular quantitative or experimental research designs, but not every research project requires them.
Qualitative studies, exploratory studies, descriptive projects, and other designs may use research questions without formal hypotheses.
Follow the requirements of the selected methodology and institution.
Many academic research proposals require some form of literature review, but the depth and structure vary.
The purpose is generally to demonstrate awareness of existing knowledge and establish the basis for the proposed investigation.
Yes, where it is appropriate to the research design and required by the institution.
A conceptual framework can help organise the key concepts, variables, or relationships being investigated.
Research questions may need refinement as the researcher reads more literature or discovers practical constraints.
However, significant changes may require corresponding changes to:
Do not change one component without checking the rest of the research design.
AI use depends on the rules of the relevant institution, supervisor, programme, or assessment.
Where AI use is permitted, it should be used responsibly and transparently where required.
Researchers remain responsible for checking factual accuracy, references, originality, reasoning, and compliance with academic requirements.
A proposal describes the planned research.
A dissertation reports and analyses research that has been conducted.
A proposal therefore focuses on justification and planning, while a dissertation contains the completed study, findings, discussion, conclusions, and recommendations where applicable.
Continue developing the research project with:
Lamtas provides professional services that may be relevant to research and academic projects.
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Explore professional writing, editing, reports, technical documentation, research documents, and structured content services.
Explore artificial intelligence, data analysis, analytics, automation, and other data-driven technology services.
Research proposals may involve concepts covered in the Lamtas glossary, including:
The glossary can provide concise explanations of technical concepts while the guides provide more detailed practical instruction.
A strong research proposal is a coherent argument and a realistic plan.
It should show that the researcher understands the problem, knows what needs to be investigated, understands the existing literature, has formulated appropriate research questions and objectives, and has a credible plan for collecting and analysing evidence.
The strongest proposals are not necessarily the longest. They are the ones in which the major components work together:
Research problem → research questions → research objectives → literature → methodology → data → analysis → expected contribution
When these elements are aligned, the proposal becomes much easier to evaluate, refine, and eventually convert into a successful research project.