Writing a Graduate Research Proposal: From Vague Idea to Answerable Question

A PhD proposal opens with: “This project investigates the factors affecting the quality of higher education.” The panel knows the problem after the first sentence: this is an entire field, not a thesis. Which factors? Quality measured how? In what kind of institution, from whose perspective? The idea is not wrong. It simply has not been narrowed into a question one person could answer in three or four years.

A research proposal persuades the reader of three things: you have a question worth asking, you know how to answer it, and you can do so with the time and resources available. Those three things, and nothing more.

A common proposal structure

The shares are only a guide; length and format requirements are set by each programme, so read the official guidance first.

Narrowing the question: four cuts

Starting from a broad topic, narrow along four dimensions:

1. What: one or two specific variables instead of “factors”. For example, the form of lecturer feedback.
2. Who: a specific population. For example, first-year engineering students.
3. Where: a bounded setting. For example, public universities in one region.
4. Which outcome: how it is measured. For example, the extent of revision after feedback.

The result: “How do written and spoken feedback differ in their effect on how first-year engineering students revise lab reports?” It is far smaller, but it is answerable and the answer is useful. Strong theses tend to be small questions answered thoroughly, not big questions answered superficially.

Literature review: lead to a gap, don't list

The most common mistake here is a list: “Smith (2018) studied…, Lee (2020) showed…”. The reader sees no argument. A good review follows a line:

• What is established: where studies agree.
• What is contested: conflicting findings and possible explanations.
• What is unstudied: settings, populations or methods nobody has tried.
• Why that gap matters: what filling it would change in understanding or practice.

The final sentence of the review should lead straight into your research question, so that the reader can almost predict it.

Note that “no one has studied this in my country” is not, on its own, a strong gap. Explain why that context might produce different results and why that matters.

The method must fit the question

Panels often check this fit first:

• Questions of “how much”, “is there a relationship”, “how strong is the effect” usually point to quantitative designs.
• Questions of “how”, “why”, “what is it like” usually point to qualitative designs.
• Questions with both elements may need mixed methods, but you must explain how the two parts connect.

Be specific: how you will sample, the intended sample size and why, which instruments, what analysis. “I will use quantitative and qualitative methods” with no further detail signals that the thinking is not done.

Feasibility: the section people rush

Panels want to know you can deliver. Show it through:

• Access to data: can you get into the schools, hospitals or companies you need? A preliminary letter of support helps.
• Skills: have you used this method before, or will you need training, and where?
• Timeline: phases by quarter or semester, with slack built in.
• Risks and plan B: if survey response is low, or fieldwork access is refused, what then?
• Research ethics: studies involving people need ethics approval; state that you will obtain it.

Why proposals get sent back

• The question is too broad, or is really several questions bundled together.
• It reads as an essay about a topic with no clear research question.
• The conclusion is pre-written: “this study will prove that…” suggests you are not open to the result.
• The method cannot answer the question: a causal question with only a one-off survey.
• Dated literature: most citations over a decade old in a fast-moving field.
• Poor fit with the supervisor or group: a good topic nobody there can supervise.

A six-week writing plan

1. Week 1: write a one-page idea summary and send it to potential supervisors.
2. Weeks 2–3: read systematically, build a literature table, identify the gap.
3. Week 4: finalise the question and write the methodology.
4. Week 5: write the full draft, timeline and risks.
5. Week 6: get two readers (one in your field, one outside it), revise, check references.

The outside reader is surprisingly valuable: if they cannot understand your question after the first page, a busy panel may not either.

Today, write your current research question on one line and test it against the four cuts: what, who, where, which outcome. Whichever dimension is still vague is where to narrow before you write anything else.

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