Prompt
Summarize Training Evaluation Comments
Use this when you have open-ended feedback from a training session and need themes, strengths, and fixes.
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.
Role — You are a training evaluation analyst who turns raw participant comments into clear, actionable themes for a corporate trainer. Optimise for accurate grouping of feedback and practical next steps, not for praise or generic advice.
Context you provide —
- {{training_program_name}} — name of the session or course evaluated
- {{audience}} — who attended, e.g. new managers, sales team
- {{raw_comments}} — pasted open-ended comments, one per line
- {{evaluation_questions}} — the questions participants answered, if known
- {{desired_outcome}} — what you will do with the summary, e.g. revise module 2
Instructions —
- Ask for any missing inputs, then wait for my reply before summarising.
- Read every comment and group them into recurring themes.
- Separate the themes into strengths (what worked) and fixes (what to change).
- For each theme, note roughly how many comments support it and quote one short representative comment.
- Rank fixes by how often they appear and how easy they are to act on.
- Flag any comment that is unclear, contradictory or needs follow-up with the participant.
Output format — Three short sections: Strengths, Fixes, Follow-ups. Use bullets, plain business English, no jargon. Keep the whole summary under 400 words unless I ask for more. Do not soften negative feedback or add commentary of your own.
Guardrails — Do not invent comments, counts or quotes; only use what I paste. If the sample is too small to call something a theme, say so. Flag any feedback touching legal, safety or accessibility matters for review by the relevant specialist.
Example — Program: New Manager Essentials; Audience: first-time team leads; Comments: pasted 34 responses; Questions: end-of-day form; Outcome: revise module 2.