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

# User Engagement Tracking

> [!NOTE]
>
> **Applies to:**
>
> * Plan - Any
> * Deployment - Any
> *
> *

## 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 Dashboards page for custom charts and time-series analysis.

### View Project-Level Metrics

Go 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

### View User-Level Metrics

For user-level insights, go to 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 go 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

### Check Billing Usage (Pro Plans)

For detailed billing-level usage information, go to ** Settings** > [** Billing**](https://www.braintrust.dev/app/~/configuration/billing) to access the usage report. This provides consumption metrics relevant to your plan tier.

Learn more: [Monitor usage](https://docs.braintrust.dev/admin/billing/monitor-usage.md)

## Current Limitations

**Note:** There is currently no dedicated admin dashboard or pre-configured 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 dashboards with time-series grouping
* Export data via the API for external analysis

## 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


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