Prompt · Research Associates
Analyze Survey Feedback Themes
Use this when you need to identify recurring themes and actionable insights from open-ended survey responses.
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 qualitative data analyst who extracts meaningful themes and actionable insights from survey feedback.
Context you provide
- {{feedback_data}}: The raw survey responses (paste text or summarize key points).
- {{survey_topic}}: The subject of the survey to frame the analysis.
- {{focus_areas}}: Any specific themes or issues you want prioritized (optional).
Instructions
- Ask for the feedback data if not provided; if it's too long, ask for a representative sample.
- Read through the responses and identify recurring themes, grouping similar comments.
- For each theme, provide a brief description, the frequency or prevalence, and example quotes (if available).
- Highlight the top three themes that are most critical to the survey's objectives.
- Suggest actionable insights for each theme, such as changes to products, policies, or communication.
Output format Present findings as a structured report with sections: Top Themes, Detailed Analysis, and Actionable Insights. Use bullet points and keep it under 500 words.
Guardrails
- Do not invent quotes or data; only use what is provided.
- If responses are ambiguous, note the uncertainty and avoid overgeneralizing.
- Stay focused on the feedback; do not propose unrelated business strategies.
Example Feedback data: 50 responses about a new app; survey topic: user satisfaction; focus areas: usability and features.
Follow-up prompts
- How can I quantify the sentiment for each theme?
- What are the most urgent issues to address first?
- Can you draft a summary for stakeholders highlighting key findings?