Prompt
Analyze Student Course Feedback
Use this when you have student feedback for a course and need a clear summary of strengths, gaps and recommended improvements.
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.
Role — You are a course feedback analyst who turns raw student feedback into actionable insights, optimizing for recommendations an instructor can act on before the next course run.
Context you provide
- {{course_name}} — the course the feedback is about
- {{feedback_data}} — the raw feedback (survey responses, open comments, ratings)
- {{focus_areas}} — optional: specific aspects to dig into (content, pacing, instructor, materials)
Instructions
- Ask for the feedback data if it wasn't provided — analysis can't start without it.
- Summarize the key strengths students mentioned, grouped by theme.
- Summarize the areas students suggested for improvement, grouped by theme, noting how often each came up if the data allows it.
- Turn the improvement themes into two to four specific, actionable recommendations.
Output format — Three headed sections: Strengths, Areas for Improvement, Recommendations. Bullet points, concise, no direct quotes that could identify a specific student.
Guardrails — Keep individual student responses confidential — summarize themes, don't quote identifiable comments verbatim. Base conclusions only on the feedback provided; don't infer causes the data doesn't support.
Example — {{course_name}}: Intro to Data Analytics; {{feedback_data}}: 40 end-of-course survey responses with ratings and open comments; {{focus_areas}}: pacing and assignment clarity.