> ## Documentation Index
> Fetch the complete documentation index at: https://docs.buildbetter.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Signals Overview

> Discover how BuildBetter automatically extracts and analyzes key insights from your conversations

Signals are automatically extracted insights from your calls, conversations, and data. BuildBetter's AI identifies customer feedback, feature requests, bugs, action items, and 35+ other signal types without manual tagging.

## Quick Navigation

<CardGroup cols={3}>
  <Card title="Automatic Extraction" icon="robot" href="/pages/Signals/automatic-extraction">
    Learn how BuildBetter extracts 35+ signal types from calls, documents, and integrated data
  </Card>

  <Card title="Filtering & Properties" icon="filter" href="/pages/Signals/filtering-and-properties">
    Filter signals by type, sentiment, CRM metadata, and more using natural language or structured queries
  </Card>

  <Card title="Visualization & Citation" icon="chart-bar" href="/pages/Signals/visualization-and-citation">
    Create dashboards, visualize trends, use AI clustering, and trace signals to source content
  </Card>
</CardGroup>

## What You Can Do with Signals

### Extract Insights Automatically

* AI identifies 35+ signal types from all your data
* Extracts from calls, support tickets, CRM data, surveys, and more
* Supports active custom signals that run after the standard extraction pipeline
* Enriches signals with sentiment, severity, emotions, and business impact
* Associates signals with people, companies, and topics

### Filter & Search

* **Natural language queries**: "Show me bug reports from enterprise customers"
* **Structured filters**: Combine type, sentiment, severity, CRM metadata
* **Boolean logic**: Complex AND/OR/NOT queries
* **Saved views**: Store and share common filter combinations
* **CRM metadata filtering**: Use Salesforce/HubSpot fields in queries

### Visualize & Analyze

* **Create custom dashboards** with 15+ chart types
* **AI-powered clustering** to discover themes in 100+ signals
* **Interactive cross-filtering** across all visualizations
* **Time series analysis** to track trends
* **Sentiment and impact visualization** with ridge charts

### Organize & Manage

* **Datasets**: Save filtered signal sets with custom AI columns
* **Folders**: Organize signals into collections
* **Export to CSV**: Download with all properties and metadata
* **Push to integrations**: Send to Jira, Linear for action

### Trace to Source

* **Citations with timestamps**: Jump to exact moment in recording
* **Transcript highlighting**: See signal in full context
* **Play clips**: Listen to/watch the specific moment
* **Related signals**: Discover connected insights

## Advanced Capabilities

### AI-Powered Clustering

Automatically group related signals to identify themes:

* Theme detection across large signal sets
* AI-generated cluster reports with trends, root causes, and recommendations
* Visual heatmaps showing cluster relationships
* Drill-down from clusters to individual signals

### Custom AI Columns (Datasets)

Add AI-generated analysis to signal datasets:

* Validation columns (Yes/No AI determinations)
* Text extraction columns (pull specific data)
* Custom analysis columns (any AI insight)

### Custom Signals

Create organization-specific signals that run after BuildBetter's standard extraction pipeline. Custom signals support previews, run history, findings, and usage estimates, and active custom signal types appear alongside standard signal types in filtering and signal views.

### Natural Language Search

Ask questions in plain English:

* "Feature requests from healthcare companies this quarter"
* "High severity bugs mentioned in the last 30 days"
* AI translates to structured filters automatically

### CRM Integration

Signals inherit metadata from connected systems:

* Salesforce account and opportunity data
* HubSpot contact and company properties
* Filter and segment by any CRM field

## Signal Lifecycle

<Steps>
  <Step title="Extraction" stepNumber={1}>
    Signals automatically extracted during call processing or data import
  </Step>

  <Step title="Enrichment" stepNumber={2}>
    AI adds sentiment, severity, emotions, business impact, and entities
  </Step>

  <Step title="Organization" stepNumber={3}>
    Add to folders, datasets, or tag for categorization
  </Step>

  <Step title="Analysis" stepNumber={4}>
    Visualize in dashboards, cluster for patterns, export for reporting
  </Step>

  <Step title="Action" stepNumber={5}>
    Push to Jira/Linear, generate documents, or trigger workflows
  </Step>
</Steps>

## Integration with BuildBetter Features

Signals power multiple workflows:

### Document Generation

* Create PRDs from feature request signals
* Generate reports from complaint clusters
* Build summaries from action item collections

### Workflow Automation

* Trigger notifications based on signal patterns
* Auto-create tickets for high-severity issues
* Schedule reports on signal trends

### CRM & Project Management

* Push signals to Jira with AI-generated tickets
* Send to Linear for product planning
* Sync with Salesforce for account insights

## Getting Started

<Steps>
  <Step title="Let AI Extract" stepNumber={1}>
    Process calls and import data - signals extract automatically
  </Step>

  <Step title="Explore Your Signals" stepNumber={2}>
    Browse the Signals section to see what's been extracted
  </Step>

  <Step title="Try Filtering" stepNumber={3}>
    Use natural language or structured filters to find specific insights
  </Step>

  <Step title="Create a Dashboard" stepNumber={4}>
    Visualize trends and patterns with custom dashboards
  </Step>

  <Step title="Take Action" stepNumber={5}>
    Export, share, or push signals to your tools
  </Step>
</Steps>

<Tip>
  Start by exploring signals extracted from your existing calls. Use the natural language query builder to ask questions like "What are customers requesting most?" to get familiar with the system.
</Tip>

## Common Use Cases

### Product Management

* Track feature request trends over time
* Identify top customer pain points
* Analyze bug severity and patterns
* Build product roadmap from customer voice

### Customer Success

* Monitor sentiment by account
* Identify at-risk customers from complaint signals
* Track resolution of customer issues
* Measure satisfaction trends

### Sales Enablement

* Analyze common objections
* Track competitive mentions
* Identify interest signals in deals
* Build competitive battle cards

### Leadership & Strategy

* Understand market trends from aggregate signals
* Identify strategic opportunities
* Monitor business impact metrics
* Track team execution via action items

<Info>
  For detailed guides on extraction, filtering, and visualization, explore the subpages in the Signals section.
</Info>