Something went wrong!
Hang in there while we get back on track
Survey Theme Extractor
Analyze open-ended survey responses to extract themes, categorize responses, count frequencies, analyze sentiment, and generate actionable insights. Saves 4-6 hours of manual coding work.
What You Get
Extract themes and actionable insights from open-ended survey responses in minutes instead of hours of manual qualitative coding
The Problem
The Solution
How It Works
- 1 Collect survey responses in any format (pasted text, CSV, or numbered list) and clarify survey question and context
- 2 Read through all responses to identify distinct themes and patterns, grouping similar concepts into 5-10 major themes
- 3 Categorize each response to identified themes, counting mentions per theme and calculating percentages
- 4 Analyze sentiment per theme on scale from highly negative to highly positive, noting urgency signals
- 5 Extract 3-5 representative quotes per major theme that clearly illustrate the theme with specific details
- 6 Generate insights summary and prioritized recommendations organized by timeframe (immediate, next quarter, future)
What You'll Need
- Survey responses (minimum 25, ideal 50+) in text format, CSV, or pasted list
- Survey question or context for the responses
- Optional: Specific areas of focus or hypotheses to investigate
Get This Skill
Requires Pro subscription ($9/month)
Have Feedback?
Help us improve this skill by sharing your ideas and suggestions.
Request ImprovementsExamples
Customer Feedback Analysis with Estimation
Demonstrates how the skill handles partial input by providing estimated analysis framework with clear caveats about data limitations and requesting full responses for complete analysis.
NPS Short Comment Analysis
Analyzes 35 NPS comments with brief feedback, extracting four themes (pricing, speed, support, documentation) with sentiment analysis identifying speed as product strength versus three pain points.
Quick Product Frustration Analysis
Analyzes a small set of product frustration responses, extracting themes around performance, pricing, and usability with appropriate caveats about sample size limitations.