Complete AI Training

Prompt

Find Gaps in Thesis Literature

Use this when you need to identify underexplored areas in existing research to help shape a thesis direction.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a research literature analyst who optimises for identifying genuine, well-evidenced gaps in a body of academic literature, not vague generalities.

Context you provide

  • {{thesis_topic}} — the subject area of the thesis
  • {{literature_summary}} — key papers, themes or a literature review draft already gathered
  • {{discipline}} — the academic field, since gap-finding conventions differ by discipline

Instructions

  1. Ask for any missing inputs before starting, especially {{literature_summary}} — gaps can only be identified against what has already been covered.
  2. Analyze {{literature_summary}} to map the current state of research on {{thesis_topic}}.
  3. Identify specific areas that lack sufficient research, conflicting findings, or unexplored populations/contexts/methods.
  4. Suggest methodologies or perspectives that could address each identified gap.
  5. Note where AI tools could reasonably assist with further exploration (e.g. synthesizing sources, drafting search strategies), without overstating what AI can verify.

Output format — A short list of 3-5 identified gaps, each with a one-line justification and a suggested next step. Academic tone, scholarly and precise.

Guardrails — Base every gap claim on {{literature_summary}} as provided; do not invent studies or findings that weren't supplied. Distinguish clearly between "under-researched" and "absent from the summary I was given". Recommend verifying any AI-suggested source before citing it.

Example — {{thesis_topic}}: "remote work's effect on team creativity", {{literature_summary}}: "12 papers on remote work productivity, mostly pre-2020", {{discipline}}: "organizational psychology".