# Engineering Metrics Dashboard

> Use when performing engineering metrics dashboard — defines and structures an engineering metrics dashboard covering DORA metrics, quality indicators, operational health, and team productivity. This template helps engineering leaders select meaningful metrics, set targets, and build dashboards that drive data-informed decisions without encouraging metric gaming.

- Skill: `cloudthinker-ai/engineering-metrics-dashboard` (Agent Skill)
- Install (CLI): `npx skillmds@latest add cloudthinker-ai/engineering-metrics-dashboard`
- Raw SKILL.md: https://api.skillmd.com/api/skills/cloudthinker-ai/engineering-metrics-dashboard/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: cloudthinker-ai (https://skillmd.com/u/cloudthinker-ai)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/cloudthinker-ai/engineering-metrics-dashboard

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# Engineering Metrics Dashboard

## Phase 1: DORA Metrics

Track the four key metrics from the DORA research program.

| Metric | Current | Target | Elite Benchmark |
|--------|---------|--------|-----------------|
| Deployment Frequency | ___ / week | | Multiple per day |
| Lead Time for Changes | ___ hours | | Less than 1 hour |
| Change Failure Rate | ___% | | 0-15% |
| Mean Time to Recovery | ___ hours | | Less than 1 hour |

**Data Sources:**

- [ ] Deployment frequency: source = ___
- [ ] Lead time: measured from ___ to ___
- [ ] Change failure rate: definition of failure = ___
- [ ] MTTR: measured from ___ to ___

## Phase 2: Quality Metrics

| Metric | Current | Target | Trend |
|--------|---------|--------|-------|
| Bug escape rate (bugs found in prod) | | | |
| Test coverage (%) | | | |
| P1/P2 incidents per month | | | |
| Tech debt ratio (% of sprint on debt) | | | |
| Code review turnaround time | | | |
| Build success rate (%) | | | |

## Phase 3: Operational Health

| Metric | Current | Target | Trend |
|--------|---------|--------|-------|
| Service availability (%) | | | |
| P50 / P99 latency | | | |
| Error rate (%) | | | |
| On-call pages per week | | | |
| Toil percentage (%) | | | |
| Infrastructure cost per request | | | |

## Phase 4: Team Productivity

| Metric | Current | Target | Trend |
|--------|---------|--------|-------|
| Cycle time (commit to production) | | | |
| PR merge time (avg) | | | |
| Sprint velocity (rolling avg) | | | |
| Work in progress (avg items) | | | |
| Planned vs unplanned work ratio | | | |
| Developer experience score (survey) | | | |

## Phase 5: Dashboard Design

- [ ] Select visualization tool: ___
- [ ] Define refresh frequency: ___
- [ ] Set up automated data collection pipelines
- [ ] Configure alerting for metrics that breach thresholds
- [ ] Ensure metrics are visible to the entire engineering org
- [ ] Add context annotations (deploys, incidents, re-orgs)

**Anti-Gaming Guidelines:**

- [ ] Use metrics for learning, not punishment
- [ ] Always pair efficiency metrics with quality metrics
- [ ] Review metric definitions quarterly
- [ ] Include qualitative feedback alongside quantitative data

## Counter-Rationalizations

| Shortcut | Counter | Why |
|----------|---------|-----|
| "We can skip some steps for this case" | Adapt the workflow steps, don't skip them | Skipped steps are where incidents and oversights originate |
| "The user seems to already know what to do" | Complete all workflow phases with the user | The workflow catches blind spots that experience alone misses |
| "This is a minor case, full process is overkill" | Scale the process down, don't turn it off | Minor cases become major when unstructured; the process scales, not disappears |
| "I'll fill in the details later" | Complete each section before moving on | Deferred details are forgotten; real-time capture is more accurate |
| "The template output isn't necessary" | Always produce the structured output format | Structured output enables comparison, audit trails, and handoff to other teams |

## Output Format

### Summary

- **Organization:** ___
- **Reporting cadence:** ___
- **DORA performance level:** Elite / High / Medium / Low
- **Top improving metric:** ___
- **Metric needing attention:** ___

### Action Items

- [ ] Set up automated data collection for all metrics
- [ ] Build dashboard in selected visualization tool
- [ ] Establish baseline measurements for first reporting period
- [ ] Schedule recurring review meetings
- [ ] Communicate metric goals and anti-gaming guidelines to teams
- [ ] Review and refine metrics after first quarter