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Applies to:


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Summary

Goal: View usage analytics and engagement metrics across projects and users in your Braintrust organization to understand tool adoption and support needs. Features: Projects page for aggregate metrics, Experiments tab filtering by creator, and the Monitor page for custom dashboards and time-series analysis.

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View Project-Level Metrics

Navigate to the Projects page to see organization-wide project metrics. This page lists all projects that the logged-in user has read access to and displays aggregate information including experiment counts, log counts, and other activity metrics per project. Available metrics:
  • Number of experiments per project
  • Number of logs per project
  • Last activity timestamps
  • Overall project health indicators

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View User-Level Metrics

For user-level insights, navigate into a specific project’s Experiments tab. Use the Creator filter to view experiments created by individual users. This allows you to track user engagement and activity on a per-user basis within each project. To filter by creator:
  1. Open a project and navigate to the Experiments tab
  2. Click on the filter controls
  3. Select Creator from the available filters
  4. Choose specific users to view their experiment activity

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Check Billing Usage (Pro Plans)

For detailed billing-level usage information, navigate to Settings > Billing to access the usage report. This provides consumption metrics relevant to your plan tier. Learn more: Pricing FAQ

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Current Limitations

Note: There is currently no dedicated admin dashboard or pre-configured Monitor chart specifically for user engagement metrics (e.g., Daily Active Users, weekly experiment additions by user). This is a known feature request with multiple customers expressing interest. Workarounds:
  • Use the Projects page for high-level project insights
  • Use Experiments tab filtering for granular user activity data
  • Build custom Monitor dashboards with time-series grouping
  • Export data via the API for external analysis

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Use Case

Organizations need visibility into how team members are adopting and using Braintrust tools. Surface-level analytics help administrators:
  • Identify which users are actively engaging with the platform
  • Track project activity trends over time
  • Ensure users are properly supported without making assumptions
  • Make data-driven decisions about training and support needs
  • Measure the effectiveness of tool rollouts and adoption initiatives