This section explains how Signals like feedback, requests, and sentiment are automatically extracted, visualized, and cited.

Automatic Extraction

Learn how BuildBetter uses AI to extract feedback, requests, bugs, and more from your calls, documents, and external data.

Filtering & Properties

Filter, search, and organize signals by type, priority, source, and custom properties.

Visualization & Citation

Visualize trends, create dashboards, and trace signals back to their original context.

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What You Can Do with Signals

  • Automatically extract actionable insights from calls, documents, chat logs, and external sources.
  • Filter and search signals by type, priority, customer, product, and more.
  • Visualize signal trends over time, by team, or by product area.
  • Drill down to the original conversation or document for full context and citation.
  • Export, share, and integrate signals with other tools (CRM, analytics, project management).
  • Configure custom extraction rules and properties to match your team’s needs.
  • Create interactive dashboards: Build custom dashboards with charts, KPIs, and signal lists. Use drag-and-drop widgets, cross-filtering, and color coding for advanced analysis.
  • Batch analysis and datasets: Create and analyze signal datasets, export to CSV, and connect to analytics tools.
  • Automate workflows: Trigger notifications, tasks, and reports based on signal patterns or thresholds.

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Dashboard Creation & Visualization

For details on configuring extraction, filtering, dashboard creation, and visualization, see the subpages in the Signals section.