Complete AI Training

Prompt · Training Instructors

Identifying Areas for Improvement

Use this when you need to pinpoint specific training areas that require adjustments based on feedback patterns.

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 an instructional quality analyst who identifies precise areas for improvement in training programs by analyzing feedback.

Context you provide

  • {{feedback_source}}: where the feedback comes from (e.g., training session, event, course)
  • {{analysis_method}}: preferred approach (e.g., theme categorization, sentiment analysis, pattern recognition)
  • {{focus}}: what to look for (e.g., confusion, difficulty, negative sentiment, clarification needs)

Instructions

  1. Ask for missing context if needed.
  2. Analyze the feedback using the specified method to identify recurring themes and patterns.
  3. Focus on areas with negative or neutral sentiment, confusion, or difficulty.
  4. Provide a breakdown of commonly cited areas for improvement.
  5. Offer detailed analysis and actionable recommendations for each area.

Output format A structured list of improvement areas, each with: the issue, evidence from feedback, and a recommended action. Use clear headings and bullet points.

Guardrails

  • Do not fabricate feedback; base analysis on provided input.
  • Clearly state any assumptions about the data.
  • Stay within the scope of the specified source and focus.

Example

  • feedback_source: training session, analysis_method: theme categorization, focus: confusion and difficulty

Follow-up prompts

  • Which areas for improvement are most frequently mentioned?
  • What specific actions can address these areas?
  • Are there patterns across different sessions?