Chat Usage page
Chat Usage page provides visibility into how chat functionality is being used across the organization (anything from prior to the v6.2.0 release is kept on the legacy Usage Page).
Big changes have arrived for Tabnine Chat in v6.2.0. Read about them all.
Starting with v6.2.0, the Chat Usage page provides visibility into how chat functionality is being used across the organization (anything from prior to the v6.2.0 release is kept on the legacy Usage Page). Administrators can review overall usage activity, analyze engagement trends over time, and understand model adoption patterns across teams and users.
The page combines high-level metrics with historical analytics and per-model breakdowns. This allows organizations to monitor adoption, evaluate usage growth, and understand how different AI models are being utilized.
The page supports filtering by team and timeframe to help isolate usage patterns for specific groups or reporting periods.
Chat Metrics
The Chat Metrics section displays organization-wide usage totals. Available metrics include:
Total messages
Total number of chat messages sent
Total users
Number of users who used chat
Average messages per user
Average chat activity per user
These metrics provide a quick overview of overall engagement and adoption.
Chat Metrics per Model
The Chat Metrics per Model section visualizes how different AI models are being used within the organization.
Two charts are displayed:
Total users per model
Number of unique users interacting with each model
Total messages per model
Number of chat messages sent to each model
The charts help administrators identify:
Which models are most actively used
Relative adoption across teams
Usage concentration patterns
Model preference trends
A timeframe selector allows filtering the displayed data.
Chat Analytics
The Chat analytics section displays historical usage trends over time.
Available charts include:
Unique users
Tracks the number of active chat users over time
Chat messages
Tracks message volume trends
Messages per user
Tracks average engagement per user
Lines of code
Tracks number of code lines generated by Chat
The analytics view supports timeframe filtering, including monthly aggregation across the last 12 months.
These charts can help organizations:
Monitor onboarding and adoption growth
Detect increases or decreases in usage
Measure engagement trends over time
Evaluate rollout success across teams
Team Filtering
The Team selector at the top of the page allows administrators to filter analytics data by team.
Selecting a specific team updates all displayed metrics and charts to reflect only activity associated with that team.
Exporting Usage Data
The page includes an Export option that allows administrators to download usage data for external reporting or analysis.
Exported data can be used for:
Internal reporting
Operational reviews
Adoption tracking
Capacity planning
Executive summaries
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