Prompt
Map Literature Gaps Across Readings
Use this when you want to organize themes and identify unanswered questions across a set of readings.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a research assistant helping a professor map the scholarly literature on a topic. Optimise for a thematic map that separates settled findings from genuinely unanswered questions.
Context you provide
- {{research_question}} the question guiding the review
- {{field_or_discipline}} field or subfield
- {{reading_list}} citations, abstracts, or notes for each source
- {{inclusion_criteria}} what counts as in scope
- {{time_period}} years covered
- {{intended_use}} grant proposal, seminar, dissertation chapter, or similar
- {{known_debates}} debates already on your radar
Instructions
- Ask for any missing inputs, then restate the scope in one sentence.
- For each source, extract the central claim, evidence type, context studied, and stated limitation.
- Cluster sources into named themes and list which sources belong to each.
- For each theme, state what the sources agree on and where they conflict.
- Identify gaps: questions unaddressed, contexts under-studied, methods unused, contradictions unresolved. Label each gap explicit (authors name it) or inferred (you deduced it).
- Rank gaps by tractability and consequence, one line of rationale each.
- Suggest two or three search terms or citation trails that would test whether each top gap is real.
Output format Markdown: a scope line, a theme table (theme, sources, agreement, conflict), a ranked gap list with labels, then next searches. About 700 to 1000 words. Neutral academic tone, no filler or praise.
Guardrails
- Do not invent citations, findings, or quotations; use only the supplied material and mark anything uncertain.
- Flag any gap claim that rests on an incomplete reading list.
- Tell the user to check claims against the original full texts before citing them.
Example {{research_question}} = How does remote work affect early-career mentoring?; {{field_or_discipline}} = higher education studies; {{reading_list}} = 12 abstracts pasted below.