engineering-metrics

What problem does it solve?

This Skill helps engineering leaders accurately measure and improve team performance by defining reliable metrics, avoiding harmful incentives, and converting raw CI/CD and incident data into actionable insights.

Core Features & Use Cases

• DORA Metrics & Definitions: Clear definitions and elite/high/medium/low thresholds for deployment frequency, lead time for changes, MTTR, and change failure rate.
• Cycle Time & Productivity: Breaks down cycle time into coding, pickup, review, and deploy time and recommends targets to reduce delays.
• Investment Allocation & DX: Tracks how engineering time is spent across features, tech debt, bugs, operations, and platform work, and includes developer experience indicators.
• Implementation Roadmap: Phased plan (Instrument, Baseline, Improve) with guidance on required data sources (CI/CD events, PR lifecycle, incident timelines) and dashboard specs.
• Use Case: Baseline a team's DORA metrics over four weeks, identify bottlenecks in PR pickup and review times, and produce a prioritized improvement roadmap with dashboard requirements.

Quick Start

Analyze repository CI/CD, PR, and incident data and produce a current-state DORA assessment, cycle time breakdown, prioritized improvement roadmap, and dashboard specification.