Survey Response Theme Extractor

Pro v1.0.0 1 view

Analyze open-ended survey responses to extract themes, sentiment, and actionable insights with prevalence percentages and prioritized recommendations.

What You Get

Transform hours of manual qualitative analysis into minutes. Get distinct themes with prevalence percentages, sentiment breakdowns, representative quotes, and prioritized action items from survey feedback.

The Problem

Product managers, UX researchers, and customer success teams spend hours manually reading through hundreds of open-ended survey responses, trying to identify patterns and themes. The process is time-consuming, inconsistent, and often misses important insights buried in the data.

The Solution

This skill systematically analyzes all survey responses to identify 6-12 distinct themes, calculates prevalence percentages, analyzes sentiment for each theme, selects representative quotes, and generates prioritized recommendations. Supports advanced features like NPS segmentation (promoters vs detractors), multi-question analysis, and comparison of different user segments.

How It Works

  1. 1 Load and validate CSV data, filtering short/duplicate responses
  2. 2 Read responses in batches to identify emerging themes and patterns
  3. 3 Consolidate preliminary themes into 6-12 distinct, non-overlapping categories
  4. 4 Classify each response by primary theme and sentiment (positive/neutral/negative)
  5. 5 Select 3-5 representative quotes per theme that exemplify the feedback
  6. 6 Generate prioritized recommendations based on prevalence and sentiment intensity

What You'll Need

  • CSV file with open-ended text responses
  • Column name containing the responses to analyze
  • 30+ responses minimum (optimal with 100+, max ~5000)

Get This Skill

Requires Pro subscription ($9/month)

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