Thesis Topic Selection Rubric | Score Candidate Topics, Risks, Advisor Fit, and Approval Readiness

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Use a topic selection rubric after you already have candidate topics: score evidence access, scope risk, method burden, advisor fit, originality, and proposal approval readiness.

• Compare existing candidate topics with a scoring rubric
• Rank data access, scope risk, method burden, advisor fit, and originality
• Useful before advisor discussion or proposal approval
• This page is not the first brainstorming step.

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What this page helps you do first

• Compare existing candidate topics with a scoring rubric
• Rank data access, scope risk, method burden, advisor fit, and originality
• Useful before advisor discussion or proposal approval

Use this after candidate topics already exist

This page is not the first brainstorming step. It is a comparison tool for two to five candidate topics that already have rough wording, possible evidence, and a likely method.

The goal is to decide which candidate should go to the advisor, which one needs narrowing, and which one should be dropped before proposal writing begins.

Score each candidate on six dimensions

• Evidence access: documents, datasets, cases, interviews, experiments, or texts you can actually obtain
• Scope risk: whether time, location, population, industry, or sample boundaries are already clear
• Method burden: whether the required statistics, coding, experiments, or fieldwork fit your deadline
• Advisor fit: whether the topic matches the advisor group, lab, course direction, or available resources
• Originality signal: whether the topic changes angle, material, context, or method beyond simple repetition
• Approval readiness: whether you can explain the question, value, method, and expected output in one meeting

Rank the candidate list before advisor discussion

• Put the highest-evidence, lowest-risk candidate first even if its wording is not perfect yet
• Mark any topic that depends on unavailable data as high risk
• Separate topics that need a wording edit from topics that need a research-design rebuild
• Bring the top two choices to the advisor instead of asking for feedback on every idea

Common rubric mistakes

• Giving a topic a high score because it sounds fashionable but has no evidence path
• Treating advisor interest as the only criterion and ignoring deadline or method load
• Comparing topic titles only instead of comparing data, method, and approval risk
• Keeping too many backup topics, which slows proposal preparation

Next step after the rubric

Once one candidate clearly ranks above the others, turn it into a sharper research question, then prepare the proposal logic for advisor approval.

Frequently asked questions

Can I choose a topic assigned by advisor?

Yes, even recommended. Advisor-assigned topics usually have prior accumulation and research foundation, reducing detours. But ensure you are truly interested and willing to invest in the research.

Can a too-broad topic be made smaller?

Yes. Topic being too broad is common. Can narrow by limiting research scope (specific industry, region, time period), or select a sub-problem from a large topic.

What if my topic overlaps with existing research?

Overlap is not terrible; what is terrible is pure repetition. Can differentiate by: changing research perspective, method, object, or data source. Even researching same problem, different findings provide value.