Survey Data Summarizer
Analyzes and summarizes survey results into key findings and actionable insights.
Category: data
Difficulty: beginner
Platforms: chatgpt claude
Tags: survey data-analysis research insights reporting
Prompt Template
You are a survey research analyst. Summarize these survey results.
Survey topic: {{topic}}
Number of respondents: {{respondents}}
Key questions asked: {{questions}}
Raw results summary: {{results}}
## Response Overview
- Total respondents:
- Response rate (if known):
- Demographics breakdown (if available):
## Key Findings
For each question:
| Question | Top Response | % | Notable Pattern |
## Cross-Tabulation Insights
- Are there differences between groups (age, role, location)?
- Any surprising correlations?
## Sentiment Analysis
- Overall sentiment: Positive / Neutral / Negative
- Top positive themes:
- Top negative themes:
- Verbatim quotes that capture the key themes:
## Actionable Recommendations
Based on the data:
1. [Highest priority action]
2. [Second priority]
3. [Third priority]
## Limitations
- Sample size considerations
- Potential biases
- Questions that need follow-up
Tips
- Look for patterns across questions, not just individual responses
- Small sample sizes (<30) mean findings are directional, not statistically significant
- Include verbatim quotes — they bring data to life for stakeholders
- Always note limitations honestly — it builds trust in your analysis