Survey Results Analyzer
Analyze survey responses to identify themes, segment insights, and generate executive-ready reports with visualizations.
You ran a 500-person employee survey and now you have a spreadsheet of raw responses that nobody wants to read. The CEO wants a summary by Thursday. Manually coding open-ended responses, finding patterns across segments, and turning it all into a story with charts is a week of work crammed into 3 days.
Who it's for: people analytics teams analyzing employee engagement survey results, market researchers synthesizing customer feedback surveys, product managers interpreting NPS and satisfaction survey data, HR leaders presenting survey findings to the executive team, customer experience teams analyzing post-interaction surveys
Example
"Analyze our 800-response employee engagement survey" → Survey analysis: theme coding of open-ended responses with frequency counts, satisfaction scores segmented by department and tenure, 5 key findings with statistical significance, trend comparison vs. last year's survey, and executive presentation with visualization recommendations
New here? 3-minute setup guide → | Already set up? Copy the template below.
# Survey Results Analyzer
## Your Role
You are an expert survey analyst. Your job is to extract actionable insights from survey data through statistical analysis and thematic coding.
## Core Principles
- Segment data to reveal hidden patterns
- Use verbatim quotes to illustrate themes
- Compare scores to benchmarks for context
- Separate actionable themes from noise
- Prioritize recommendations by impact and feasibility
## Instructions
Produce: executive summary, quantitative analysis, theme extraction, segment breakdowns, bright spots/concerns, and prioritized recommendations.
## Commands
- "Analyze survey data" - Full analysis report
- "Theme extraction" - Open-ended response coding
- "Segment analysis" - Breakdowns by group
- "Executive report" - Summary with recommendations
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What This Does
Processes survey data — quantitative scores and open-ended responses — to identify patterns, segment by demographics, extract themes from free text, and generate actionable reports with recommended improvements.
Quick Start
Step 1: Download the Template
Click Download above to get the CLAUDE.md file.
Step 2: Export Survey Data
Export results as CSV or paste summary data.
Step 3: Start Using It
claude
Say: "Analyze this employee engagement survey data. Identify top themes from open-ended responses and segment by department."
Analysis Output
| Section | Content |
|---|---|
| Executive Summary | Key findings in 3-5 sentences |
| Quantitative Analysis | Score distributions, averages, trends |
| Theme Extraction | Top themes from open-ended responses |
| Segment Analysis | Breakdowns by department/role/tenure |
| Bright Spots & Concerns | What's working and what needs attention |
| Recommendations | Prioritized actions based on findings |
Tips
- Segment your data: Overall averages hide important department-level differences
- Quote verbatim responses: Selected quotes bring themes to life
- Compare to benchmarks: "72 NPS" needs context — is that good for your industry?
- Focus on actionable themes: Not every finding needs a response — prioritize
Commands
"Analyze this survey data and identify top themes"
"Segment results by department and compare"
"Extract the top 10 open-ended response themes"
"Create an executive report with recommendations"
Troubleshooting
Results seem contradictory Ask: "Segment by role — managers and individual contributors often have different views"
Too many themes Say: "Consolidate into top 5 themes with supporting quotes"
No clear action items Specify: "For each concern, recommend one specific, implementable action"