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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

  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 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

  1. Ask for any missing inputs, then wait.
  2. Code the data into themes; name each theme and count supporting responses.
  3. Rank themes by frequency and relevance to {{learning_goal}}.
  4. Pull 3 to 5 verbatim quotes, kept anonymous.
  5. List gaps: questions the data does not answer and thin sample coverage.
  6. Note contradictions between methods.
  7. Flag assumptions made while grouping responses.
  8. 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.