Qualitative Analysis

Summarize open-ended responses, identify themes, and extract insights from text with AI. Transform hundreds of written responses into actionable intelligence.

What It Analyzes

Text Responses

• Open-ended survey answers
• Feedback and comments
• Suggestions and ideas
• Complaints and issues
• Customer stories

Analysis Features

Theme Identification

• Automatically groups similar responses
• Identifies recurring topics
• Extracts key themes
• Shows frequency and importance

Sentiment Analysis

• Positive, negative, or neutral classification
• Emotion detection (frustration, excitement, confusion)
• Intensity measurement
• Sentiment trends over time

Key Insight Extraction

• Most mentioned features
• Common pain points
• Feature requests
• Customer needs
• Improvement opportunities

Summarization

• Executive summaries of all feedback
• Per-question summaries
• Trend summaries
• Actionable recommendations

How to Use

Navigate to Results > Insights > Qualitative to view:

Theme Clouds

• Visual representation of common themes
• Click themes to see related responses
• Filter by sentiment or time period

Quote Highlights

• Representative quotes for each theme
• Most impactful responses
• Outlier identification
• Shareable snippets

Export Options

• Summary reports (PDF, Word)
• Theme spreadsheets
• Quote compilations
• Presentation-ready formats

Example Analysis

Input: 500 customer feedback responses

AI Output:

Top Themes (by frequency):
1. Customer Support (mentioned 234 times)
   - 78% positive sentiment
   - Main praise: "Fast response times"
   - Main concern: "Limited weekend availability"
2. Pricing (mentioned 189 times)
   - 45% positive sentiment
   - Common feedback: "Good value for features"
   - Concern: "Confusing pricing tiers"
3. Features (mentioned 156 times)
   - 82% positive sentiment
   - Most requested: "Mobile app improvements"

Advanced Features

Comparative Analysis

• Compare themes across time periods
• Segment analysis (by customer type, region, etc.)
• Before/after analysis for product changes

Trend Detection

• Emerging themes
• Declining issues
• Seasonal patterns
• Anomaly alerts

Custom Categories

• Define your own theme categories
• Train AI on domain-specific terms
• Create custom taxonomies

Use qualitative analysis to understand the “why” behind your data!