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The dashboard is at http://localhost:3000  (or your Tandemu Cloud URL). Log in to see your organization’s data.

Dashboard Home

The home page shows summary cards:

  • Total Sessions — Number of Claude Code sessions across the team
  • AI Code Ratio — Percentage of code generated by AI vs written manually
  • Avg Cycle Time — Average time from task start to completion
  • Active Developers — Team members who had sessions recently

AI Insights

Path: /ai-insights

Shows the ratio of AI-generated code to manually written code:

  • Pie chart — Current split (e.g., 72% AI, 28% manual)
  • Trend line — How the ratio changes over time
  • Per-developer breakdown — Who uses AI more or less

This helps quantify the ROI of AI tooling. A high ratio means Claude Code is being leveraged effectively. A low ratio might indicate developers need training or the codebase has areas where AI struggles.

Friction Map

Path: /friction-map

Identifies files and components where developers get stuck:

  • Repository paths ranked by friction score
  • Prompt loop count — How many times developers re-prompted Claude on the same issue
  • Error count — Tool execution failures
  • Color coding — Green (low friction), yellow (moderate), red (high)

High friction on a file usually means:

  • The code is complex or poorly documented
  • There are subtle bugs that AI can’t easily fix
  • The architecture needs refactoring

Use this to prioritize tech debt cleanup — focus on the files that slow your team down the most.

DORA Metrics

Path: /dora-metrics

Four key metrics from the DORA (DevOps Research and Assessment) framework:

MetricEliteHighMediumLow
Deployment FrequencyMultiple/day1/day–1/week1/week–1/monthLess than 1/month
Lead Time for ChangesUnder 1 hour1 day–1 week1 week–1 monthOver 1 month
Change Failure Rate0–15%16–30%31–45%Over 45%
Time to RestoreUnder 1 hourUnder 1 dayUnder 1 weekOver 1 week

Each metric shows the current value and a performance level badge (Elite/High/Medium/Low).

Timesheets

Path: /timesheets

Automatic time tracking from Claude Code sessions:

  • Daily entries — Date, developer, active time, session count
  • Weekly totals — Aggregate hours per developer
  • AI-assisted time — How much of the session involved AI-generated code

No manual timesheets needed. Developers just use Claude Code and the time is tracked automatically.

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