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Analyze Survey Results

Systematically analyze survey data to extract key insights, identify segments, and drive decisions.

The Prompt

prompt.txt
Analyze the following survey results. Provide:
1. Response rate and sample quality assessment
2. Key findings summary (top 5 insights)
3. Quantitative breakdown of each question
4. Sentiment analysis for open-ended questions (theme extraction)
5. Segment comparison: do responses differ significantly by demographic or cohort?
6. Surprising or unexpected findings
7. Actionable recommendations based on findings
8. Confidence level in findings (based on sample size)

Survey data:
[PASTE SURVEY RESULTS — or describe: question text, response distribution, open-ended responses]

Survey purpose: [WHAT DECISION DOES THIS INFORM]
Sample: [WHO WAS SURVEYED AND HOW MANY RESPONDED]
Key hypotheses you had: [WHAT YOU EXPECTED TO FIND]

Example Output

Analyzed 312-response NPS survey: overall NPS of 34 (Detractor 18%, Passive 30%, Promoter 52%). Top positive theme from open-ends: time savings (mentioned 67 times). Top negative theme: onboarding complexity (43 mentions). Segment finding: enterprise users (>100 employees) score 22 points higher than SMB users — suggests product-market fit is stronger in mid-market.

FAQ

Which AI model is best for Analyze Survey Results?

Claude Sonnet 4 — excellent at synthesizing survey data into actionable insights.

How do I use the Analyze Survey Results prompt?

Copy the prompt, replace the [BRACKETED] placeholders with your specific information, and paste into your preferred AI assistant (ChatGPT, Claude, Gemini, etc.). Analyzed 312-response NPS survey: overall NPS of 34 (Detractor 18%, Passive 30%, Promoter 52%). Top positive theme from open-ends: time savings (mentioned 67 times). Top negative theme: onboarding complexity (43 mentions). Segment finding: enterprise users (>100 employees) score 22 points higher than SMB users — suggests product-market fit is stronger in mid-market.