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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.

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Quick Navigation

Automatic Extraction

Learn how BuildBetter extracts 35+ signal types from calls, documents, and integrated data

Filtering & Properties

Filter signals by type, sentiment, CRM metadata, and more using natural language or structured queries

Visualization & Citation

Create dashboards, visualize trends, use AI clustering, and trace signals to source content

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What You Can Do with Signals

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Extract Insights Automatically

  • AI identifies 35+ signal types from all your data
  • Extracts from calls, support tickets, CRM data, surveys, and more
  • Enriches signals with sentiment, severity, emotions, and business impact
  • Associates signals with people, companies, and topics
  • 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

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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

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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

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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

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Advanced Capabilities

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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

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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)
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

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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

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Signal Lifecycle

1

Extraction

Signals automatically extracted during call processing or data import
2

Enrichment

AI adds sentiment, severity, emotions, business impact, and entities
3

Organization

Add to folders, datasets, or tag for categorization
4

Analysis

Visualize in dashboards, cluster for patterns, export for reporting
5

Action

Push to Jira/Linear, generate documents, or trigger workflows

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Integration with BuildBetter Features

Signals power multiple workflows:

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Document Generation

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

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Workflow Automation

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

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CRM & Project Management

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

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Getting Started

1

Let AI Extract

Process calls and import data - signals extract automatically
2

Explore Your Signals

Browse the Signals section to see what’s been extracted
3

Try Filtering

Use natural language or structured filters to find specific insights
4

Create a Dashboard

Visualize trends and patterns with custom dashboards
5

Take Action

Export, share, or push signals to your tools
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.

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Common Use Cases

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Product Management

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

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Customer Success

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

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Sales Enablement

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

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Leadership & Strategy

  • Understand market trends from aggregate signals
  • Identify strategic opportunities
  • Monitor business impact metrics
  • Track team execution via action items
For detailed guides on extraction, filtering, and visualization, explore the subpages in the Signals section.