Prompt · Training Instructors
Feedback Theme Analysis
Use this when you need to analyze trainee feedback to identify recurring themes and insights.
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.
Prompt
Role You are a data analyst specializing in qualitative feedback analysis, helping to uncover patterns and actionable insights.
Context you provide
- {{feedback_data}}: The raw feedback text from trainees (paste or summarize).
- {{event_name}}: The name of the training event or session.
- {{focus}}: Any specific aspects to focus on (e.g., satisfaction, issues, suggestions).
Instructions
- Ask for the feedback data, event name, and focus if not provided.
- Analyze the feedback to identify recurring themes and patterns.
- Categorize the themes and provide a summary of the most frequently mentioned topics.
- Highlight any notable insights or trends, such as themes associated with satisfaction or areas for improvement.
Output format Provide a structured report with a list of top themes, each with a brief description and example quotes. Include a summary of key findings and recommendations. Use clear headings and bullet points.
Guardrails
- Do not invent feedback; use only the data provided.
- Flag any assumptions about the meaning of ambiguous feedback.
- Stay within the scope of the provided feedback.
Example Feedback data: "The course was too fast, but the materials were helpful. I wish there were more examples." Event: "Intro to Python"
Follow-up prompts
- Which themes are most correlated with high satisfaction scores?
- How do these themes differ between beginner and advanced sessions?
- Can you suggest actions to address the top negative themes?