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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.

BuildBetter provides powerful visualization and dashboard capabilities to help you understand signal patterns, trends, and insights at scale.

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Visualization Capabilities

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Dashboard System

BuildBetter includes a comprehensive dashboard builder for creating custom visualizations:
  • Drag-and-drop interface for easy dashboard creation
  • 15+ chart and widget types for different analyses
  • Interactive filtering across all visualizations
  • Real-time updates as data changes
  • Save and share dashboards with your team
  • Export options (PNG, PDF, CSV)

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Chart Types Available

Time Series

Volume Charts: Signal count over timeTrack trends, identify spikes, and monitor patterns across days, weeks, or months

Distribution

Breakdown Charts: Signal distribution by type, priority, or sourcePie charts and bar charts showing signal composition

Sentiment Analysis

Ridge Charts: Sentiment, bias, emotion, and impact distributionsVisualize emotional trends and business impact patterns

Clustering

Heatmaps: Signal clusters and thematic groupingsAI-powered clustering to discover patterns

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Additional Visualization Types

  • Scatter plots: Sentiment vs time analysis
  • Persona pie charts: Distribution by customer segment
  • KPI metric cards: Key performance indicators
  • Dynamic metric cards: Segmented metrics with drill-down
  • Impact analysis cards: Business impact breakdowns
  • Quote cards: Featured customer quotes
  • Signal lists: Filtered, sortable tables
Finding Dashboards: Navigate to the Clustering section in BuildBetter’s main navigation to access dashboard creation, visualizations, and AI-powered theme analysis. “Clustering” is the home for all signal analytics and visualization features.

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Dashboard Creation

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Build Custom Dashboards

1

Create Dashboard

Navigate to Signals > Clustering or Dashboard view Click “Create Dashboard” to start
2

Add Visualizations

Choose from available card types:
  • Time series volume charts
  • Sentiment ridge charts
  • Cluster heatmaps
  • KPI cards
  • Signal lists
3

Configure Cards

Set filters, time ranges, and display options for each card Customize colors, groupings, and data sources
4

Arrange Layout

Drag cards to arrange your dashboard Resize and organize for optimal viewing
5

Save & Share

Save dashboard configuration Share link with teammates Export visualizations as needed

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Clustering & AI Analysis

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Automatic Signal Clustering

BuildBetter’s clustering engine automatically groups related signals to identify themes: Clustering Features:
  • Automatic theme detection across signals
  • AI-generated cluster reports with insights
  • Visual heatmaps showing cluster relationships
  • Drill-down from clusters to individual signals
  • Trend analysis within clusters
  • Root cause identification

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Cluster Reports

Each cluster generates an AI-powered report including:
  • Trend analysis: How the cluster is evolving over time
  • Root cause analysis: Underlying issues or drivers
  • Business impact assessment: Effect on revenue, adoption, satisfaction
  • Customer quotes: Representative examples from signals
  • Recommended actions: AI-suggested next steps
  • Volume charts: Signal count trends
Use clustering when analyzing large signal sets (100+) to automatically discover hidden themes and patterns.

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Interactive Features

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Cross-Filtering

Click any chart element to filter all other visualizations:
  • Click a bar in a time series to filter to that time period
  • Select a signal type to filter all charts to that type
  • Click a company to show only signals from that organization
  • Interactive filtering updates all dashboard cards in real-time

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Drill-Down Navigation

  • Click chart elements to see underlying signals
  • Navigate from clusters to individual signals
  • Jump to source recordings with timestamps
  • Explore related signals and patterns

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Dynamic Updates

  • Dashboards update in real-time as filters change
  • Add/remove filters to explore different views
  • Cross-filtering maintains context across cards
  • Reset filters to return to full view

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Citation & Source Tracing

Every signal links back to its source for full context:

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Citation Features

1

Source Link

Click any signal to see its source Direct link to the recording or conversation
2

Timestamp Navigation

Jump to the exact moment in the recording View transcript with signal highlighted
3

Surrounding Context

See conversation before and after the signal Understand full context and nuance
4

Related Signals

Discover other signals from the same source Find patterns across conversations

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Citation Elements

  • Play clip: Listen to/watch the specific moment
  • Read transcript: View text with signal highlighted
  • See metadata: Speaker, time, recording details
  • Related content: Other signals from same source
Citations include direct links to recordings with timestamps, making it easy to verify AI extractions and get full context.

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Export & Sharing

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Dashboard Export

  • PNG/JPG: Export visualizations as images
  • PDF: Create dashboard reports
  • CSV: Export underlying signal data
  • Share link: Give teammates access to live dashboard

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Signal Export

  • CSV export: Download filtered signals with all properties
  • Copy to clipboard: Quick data transfer
  • Push to integrations: Send to Jira, Linear, etc.

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Saved Searches & Advanced Analysis

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Create Saved Searches

  1. Filter signals to your target set
  2. Save as a named Saved Search
  3. Add custom AI-generated columns
  4. Export or visualize the results

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Custom AI Columns

Add AI-powered analysis columns to Saved Searches:
  • Validation columns: Yes/No AI-determined fields
  • Text extraction: Pull specific information
  • Custom analysis: Any AI-generated insight
Datasets with custom columns enable advanced analysis like validation, categorization, and targeted extraction across large signal sets.

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Best Practices

Start with time series: Understand volume and trends first
Use clustering for large datasets: Let AI find patterns in 100+ signals
Cross-filter for insights: Click chart elements to explore relationships
Always verify with citations: Check source context for important insights
Create focused dashboards: Build separate dashboards for different use cases

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Common Dashboard Configurations

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Product Dashboard

  • Feature request volume over time
  • Bug severity distribution
  • Top requested features (signal frequency)
  • Customer quotes from high-impact signals

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Customer Success Dashboard

  • Sentiment trends by company
  • Risk signals by account
  • Complaint categories and volume
  • Resolution time for issues

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Sales Intelligence Dashboard

  • Objections over time
  • Competitive mentions
  • Deal stage signal analysis
  • Win/loss pattern insights

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Troubleshooting

  • Reduce time range or signal count
  • Simplify complex filters
  • Remove unused cards
  • Clear browser cache
  • Verify source recording still exists
  • Check permissions for source content
  • Ensure recording has completed processing
  • Try refreshing the page
  • Check filter settings
  • Verify date range includes data
  • Ensure signals exist for selected criteria
  • Review CRM sync status if using metadata
Dashboards and visualizations update automatically as new signals are extracted. Your insights stay current without manual updates.