Developer productivity dashboard

Problem

Engineering teams had data in many tools, but no trustworthy shared view of delivery health. Existing dashboards mixed noisy metrics with weak drill-downs, making it hard to diagnose bottlenecks and release risk.

Strategy

Shared metric definitions reduced reporting debates, while layered navigation let teams move from summary to root cause quickly. Role-aware slices kept the same data useful for engineering leads and delivery stakeholders.

Approach

We designed a unified engineering analytics system with normalized event ingestion, role-aware views, and drill-downs from high-level signals into sprint, CI, and incident detail.

Solution

We designed a unified engineering analytics system with normalized event ingestion, role-aware views, and drill-downs from high-level signals into sprint, CI, and incident detail.

Outcome

A dashboard model teams can rely on for operational decisions instead of status theater.

• Clearer visibility into delivery risk, throughput, and release readiness.
• Faster troubleshooting through drill-down paths from metric anomalies to source events.
• Better cross-team alignment with shared definitions and role-specific views.

Technology

• Next.js + TypeScript
• PostgreSQL
• ETL pipelines
• OAuth + RBAC