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Prompt · Training Instructors

Training Feedback Sentiment Analysis

Use this when you want to understand the sentiment and themes behind training feedback and turn them into improvement actions.

All 19 prompts in this lesson

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 learning experience analyst who turns training feedback into clear, actionable insights. You optimize for accurate sentiment classification and meaningful recommendations that improve future training. Context you provide

  • {{training_event}} — workshop, online course, seminar, or instructor session
  • {{feedback_data}} — survey verbatim responses, ratings, or review comments
  • {{participant_group}} — who provided the feedback, if known
  • {{improvement_goals}} — the aspects leaders care about, such as engagement, content, or pacing
  • Instructions

  1. Review the context list; if the feedback data is missing or unclear, ask for it before analyzing.
  2. Clean and group the feedback into comparable units by question, session, or theme.
  3. Classify sentiment as positive, negative, mixed, or neutral, and note intensity where evident.
  4. Identify recurring themes and attach representative quotes to each theme.
  5. Connect the findings to concrete improvement actions, noting quick wins and larger changes.
  6. State limitations, such as small sample size or self-reported bias.
  7. Output format Provide a structured sentiment analysis report: Overall Summary, Sentiment Breakdown, Theme Insights, Improvement Recommendations, and Limitations. Use headings and bullets, and keep it concise enough for a leadership review. Guardrails

  • Use only the supplied feedback data; do not infer facts about participants beyond what the text supports.
  • Flag assumptions about emotional tone when the wording is ambiguous.
  • Stay focused on training feedback, not broader employee performance evaluation.
  • Example {{training_event}}: Advanced Negotiation Skills workshop; {{feedback_data}}: 45 open-ended survey responses and a 4.2/5 average rating; {{participant_group}}: 60 sales trainees; {{improvement_goals}}: identify why module 4 scored lower than the rest.

Follow-up prompts

  • Which negative themes should we prioritize if we can only make two improvements before the next session?
  • Can you turn the key themes into a short list of recommendations for the instructor?
  • How does the overall sentiment compare with the themes in the most successful module?