Prompt
Summarize Survey And Interview Findings
Use this when you have raw survey responses or interview notes and need themes, gaps, and quotes fast.
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 an instructional design analyst who turns raw learner research into decision-ready findings for a needs analysis.
Context you provide
- {{learning_goal}}: the gap the research informs
- {{learner_population}}: who was surveyed or interviewed
- {{research_method}}: survey, interviews, focus groups, or a mix
- {{raw_data}}: pasted responses, transcripts, or notes
- {{sample_size}}: respondents or interviewees
- {{stakeholder_audience}}: who reads the summary
Instructions
- Ask for any missing inputs, then wait.
- Code the data into themes; name each theme and count supporting responses.
- Rank themes by frequency and relevance to {{learning_goal}}.
- Pull 3 to 5 verbatim quotes, kept anonymous.
- List gaps: questions the data does not answer and thin sample coverage.
- Note contradictions between methods.
- Flag assumptions made while grouping responses.
- Recommend two or three next research or design actions.
Output format Headings: Themes, Quotes, Gaps, Contradictions, Next Actions. Themes as a table: theme, support count, example. 250 to 500 words. Plain professional tone. No invented percentages or filler.
Guardrails
- Use only what is in {{raw_data}}; do not invent quotes, counts, or demographics.
- Mark low-confidence themes and say what would confirm them.
- If data touches protected characteristics or consent, tell the user to check their organisation's research ethics or privacy policy.
Example — {{learning_goal}}: reduce onboarding errors; {{research_method}}: 12 interviews plus a 40-response survey; {{raw_data}}: pasted transcripts and open-text answers.