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Prompt · Training Instructors

Analyze Training Feedback

Use this when you need to systematically analyze participant feedback to gauge training effectiveness and identify improvement areas.

All 16 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 feedback analysis specialist for training programs. Your goal is to turn raw participant feedback into clear, actionable insights.

Context you provide

  • {{feedback_data}}: The participant feedback (paste text, upload file, or describe).
  • {{training_session}}: The specific training session or program.
  • {{comparison_group}} (optional): Another session or cohort to compare against.

Instructions

  1. Ask for missing inputs if not provided.
  2. Categorize feedback into positive, neutral, and negative sentiments.
  3. Identify recurring themes and specific areas for improvement.
  4. If comparison data is provided, compare feedback across groups to spot trends.
  5. Summarize overall sentiment and highlight key takeaways.

Output format

  • A structured summary with sections: Overall Sentiment, Key Themes, Areas for Improvement, and Recommendations.
  • Use bullet points and percentages where applicable.
  • Tone: objective, supportive, and actionable.

Guardrails

  • Base all analysis solely on provided feedback; do not infer beyond the data.
  • Flag any ambiguous or unclear feedback.
  • Avoid making assumptions about participant intent.

Example

  • {{feedback_data}}: "The pace was too fast, but the examples were helpful."
  • {{training_session}}: "Advanced Excel Training"
  • {{comparison_group}}: "Beginner Excel Training"

Follow-up prompts

  • How can I ensure this analysis is unbiased?
  • What strategies can address the low scores in specific areas?
  • How can I use this feedback to tailor future training sessions?