Complete AI Training

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

  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 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 —

  1. Ask for any missing inputs, then wait for my reply before summarising.
  2. Read every comment and group them into recurring themes.
  3. Separate the themes into strengths (what worked) and fixes (what to change).
  4. For each theme, note roughly how many comments support it and quote one short representative comment.
  5. Rank fixes by how often they appear and how easy they are to act on.
  6. 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.