The dissertation proposal checklist behind a feasible research project

Align the problem and question

Describe the specific problem in existing knowledge or practice, then show how the research question addresses it. If the problem is global but the question studies one small case, explain why that case can produce a meaningful answer.

Test each term in the question. Ambiguous concepts need definitions. Questions that contain several independent problems may need to be narrowed or divided into subquestions.

Make the method answer the question

Method choice should follow the kind of claim you want to make. Questions about experience, meaning, prevalence, association, causation, design, or performance require different evidence and analysis.

Name the population or material, sampling approach, data collection process, analysis method, and quality checks. Explain why each choice is suitable, not merely what you plan to do.

• Population or corpus
• Sampling
• Data collection
• Analysis
• Validity or trustworthiness
• Ethics

Prove feasibility

A sophisticated design is not useful if access, time, software, skills, or ethics approval make it impossible. Include a realistic timeline with dependencies and a fallback for the highest-risk step.

Separate what must be completed for the degree from what would be valuable in a larger future project. A focused contribution is easier to defend than an impossible promise.

Run the alignment check

Read the problem, question, objectives, literature gap, method, and expected contribution in sequence. A reviewer should be able to see why each section follows from the previous one. Any new concept that appears late in the proposal needs to be introduced or removed.