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> For a complete documentation index, see https://typeform.ferndocs.com/llms.txt.
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# 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!