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Survey Results Analyzer

Analyze survey responses to identify themes, segment insights, and generate executive-ready reports with visualizations.

10 minutes
By communitySource
#surveys#analysis#feedback#insights#reporting
CLAUDE.md Template

Download this file and place it in your project folder to get started.

# 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
README.md

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"

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