> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://typeform.ferndocs.com/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://typeform.ferndocs.com/_mcp/server.

# Quantitative Analysis

Automatic statistical analysis, trend identification, and comparative analytics powered by AI. Get mathematical insights without being a data scientist.

## Analysis Types

**Descriptive Statistics**

* Mean, median, mode
* Standard deviation
* Percentiles and quartiles
* Distribution analysis
* Outlier detection

**Trend Analysis**

* Time series analysis
* Growth rates
* Seasonal patterns
* Forecasting
* Anomaly detection

**Comparative Analysis**

* Segment comparison
* Before/after analysis
* A/B test results
* Correlation analysis
* Statistical significance testing

## Automatic Insights

AI automatically identifies and highlights:

**Significant Findings**

* Statistically significant differences
* Notable trends
* Unexpected patterns
* Key correlations

**Benchmarking**

* Compare to industry standards
* Historical performance
* Goal tracking
* Peer comparison

**Predictions**

* Forecast future responses
* Trend projections
* Risk indicators
* Opportunity identification

## Visualizations

**Charts & Graphs**

* Bar charts and histograms
* Line graphs for trends
* Pie charts for distribution
* Scatter plots for correlation
* Heat maps for patterns

**Interactive Dashboards**

* Drill-down capabilities
* Filter and segment data
* Compare multiple metrics
* Export and share

## Example Analyses

**NPS Score Analysis**

```
Current NPS: 42
- 3-month trend: ↑ 8 points
- Promoters: 58% (↑ 12%)
- Detractors: 16% (↓ 4%)
- Prediction: Expected to reach 45 next month
- Recommendation: Focus on converting passives to promoters
```

**Response Rate Analysis**

```
Completion Rate: 68%
- Above industry average (55%)
- Peak response time: 2-3 PM
- Device breakdown: 62% mobile, 38% desktop
- Drop-off point: Question 7 (pricing question)
- Recommendation: Simplify question 7
```

## Advanced Features

**Segmentation**

* Automatic segment identification
* Custom segment creation
* Cross-segment analysis
* Segment profiling

**Correlation Discovery**

* Find unexpected relationships
* Identify drivers and outcomes
* Cause-effect analysis
* Predictive modeling

**Statistical Testing**

* T-tests and ANOVA
* Chi-square tests
* Regression analysis
* Confidence intervals

Access quantitative analysis in **Results** > **Insights** > **Quantitative**!