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Analytics Dashboard

Status: Planned Feature (TBD)

Overview​

Comprehensive analytics for tracking usage, performance, costs, and productivity gains from AI assistance.

Planned Features​

Usage Analytics​

  • Session metrics - Count, duration, frequency
  • Token analytics - Usage patterns, trends, forecasting
  • Cost tracking - Per-session, per-project, per-user costs
  • Tool usage - Which tools used most frequently
  • Model analytics - Model selection patterns
  • Success metrics - Task completion rates

Performance Analytics​

  • Response times - AI latency tracking
  • Tool execution times - Performance bottlenecks
  • Context efficiency - Token usage optimization
  • Error rates - Failure tracking and patterns
  • Recovery metrics - Error recovery success

Productivity Analytics​

  • Time savings - Estimated time saved by AI
  • Code quality - Before/after metrics
  • Task complexity - Difficulty analysis
  • Automation ROI - Value delivered
  • Team productivity - Collaboration insights

Visualization​

  • Interactive dashboards - Web-based analytics UI
  • Charts and graphs - Usage trends, cost trends
  • Comparative analysis - Before/after, user comparisons
  • Export reports - PDF, CSV exports
  • Real-time monitoring - Live metrics

Roadmap​

  • Q2 2025: Sprint 13-16 - Enterprise features including analytics

Priority: P1 - Enterprise requirement

Current Capabilities​

  • Basic token tracking
  • Session files with usage data
  • Manual analysis required
  • No visualization

Check back Q2 2025 for analytics dashboard.