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Quality Metrics

quality-metrics

Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.

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SKILL.md

Full skill instructions

Quality Metrics

<default_to_action> When measuring quality or building dashboards:

  1. MEASURE outcomes (bug escape rate, MTTD) not activities (test count)
  2. FOCUS on DORA metrics: Deployment frequency, Lead time, MTTD, MTTR, Change failure rate
  3. AVOID vanity metrics: 100% coverage means nothing if tests don't catch bugs
  4. SET thresholds that drive behavior (quality gates block bad code)
  5. TREND over time: Direction matters more than absolute numbers

Quick Metric Selection:

  • Speed: Deployment frequency, lead time for changes
  • Stability: Change failure rate, MTTR
  • Quality: Bug escape rate, defect density, test effectiveness
  • Process: Code review time, flaky test rate

Critical Success Factors:

  • Metrics without action are theater
  • What you measure is what you optimize
  • Trends matter more than snapshots </​default_to_action>

Quick Reference Card

When to Use

  • Building quality dashboards
  • Defining quality gates
  • Evaluating testing effectiveness
  • Justifying quality investments

Meaningful vs Vanity Metrics

✅ Meaningful❌ Vanity
Bug escape rateTest case count
MTTD (detection)Lines of test code
MTTR (recovery)Test executions
Change failure rateCoverage % (alone)
Lead time for changesRequirements traced

DORA Metrics

MetricEliteHighMediumLow
Deploy FrequencyOn-demandWeeklyMonthlyYearly
Lead Time< 1 hour< 1 week< 1 month> 6 months
Change Failure Rate< 5%< 15%< 30%> 45%
MTTR< 1 hour< 1 day< 1 week> 1 month

Quality Gate Thresholds

MetricBlocking ThresholdWarning
Test pass rate100%-
Critical coverage> 80%> 70%
Security critical0-
Performance p95< 200ms< 500ms
Flaky tests< 2%< 5%

Core Metrics

Bug Escape Rate

Bug Escape Rate = (Production Bugs / Total Bugs Found) × 100

Target: < 10% (90% caught before production)

Test Effectiveness

Test Effectiveness = (Bugs Found by Tests / Total Bugs) × 100

Target: > 70%

Defect Density

Defect Density = Defects / KLOC

Good: < 1 defect per KLOC

Mean Time to Detect (MTTD)

MTTD = Time(Bug Reported) - Time(Bug Introduced)

Target: < 1 day for critical, < 1 week for others

Dashboard Design

// Agent generates quality dashboard
await Task(
  'Generate Dashboard',
  {
    metrics: {
      delivery: ['deployment-frequency', 'lead-time', 'change-failure-rate'],
      quality: ['bug-escape-rate', 'test-effectiveness', 'defect-density'],
      stability: ['mttd', 'mttr', 'availability'],
      process: ['code-review-time', 'flaky-test-rate', 'coverage-trend'],
    },
    visualization: 'grafana',
    alerts: {
      critical: { bug_escape_rate: '>20%', mttr: '>24h' },
      warning: { coverage: '<70%', flaky_rate: '>5%' },
    },
  },
  'qe-quality-analyzer'
);

Quality Gate Configuration

{
  "qualityGates": {
    "commit": {
      "coverage": { "min": 80, "blocking": true },
      "lint": { "errors": 0, "blocking": true }
    },
    "pr": {
      "tests": { "pass": "100%", "blocking": true },
      "security": { "critical": 0, "blocking": true },
      "coverage_delta": { "min": 0, "blocking": false }
    },
    "release": {
      "e2e": { "pass": "100%", "blocking": true },
      "performance_p95": { "max_ms": 200, "blocking": true },
      "bug_escape_rate": { "max": "10%", "blocking": false }
    }
  }
}

Agent-Assisted Metrics

// Calculate quality trends
await Task(
  'Quality Trend Analysis',
  {
    timeframe: '90d',
    metrics: ['bug-escape-rate', 'mttd', 'test-effectiveness'],
    compare: 'previous-90d',
    predictNext: '30d',
  },
  'qe-quality-analyzer'
);

// Evaluate quality gate
await Task(
  'Quality Gate Evaluation',
  {
    buildId: 'build-123',
    environment: 'staging',
    metrics: currentMetrics,
    policy: qualityPolicy,
  },
  'qe-quality-gate'
);

Agent Coordination Hints

Memory Namespace

aqe/​quality-metrics/
├── dashboards/​*         - Dashboard configurations
├── trends/​*             - Historical metric data
├── gates/​*              - Gate evaluation results
└── alerts/​*             - Triggered alerts

Fleet Coordination

const metricsFleet = await FleetManager.coordinate({
  strategy: 'quality-metrics',
  agents: [
    'qe-quality-analyzer', // Trend analysis
    'qe-test-executor', // Test metrics
    'qe-coverage-analyzer', // Coverage data
    'qe-production-intelligence', // Production metrics
    'qe-quality-gate', // Gate decisions
  ],
  topology: 'mesh',
});

Common Traps

TrapProblemSolution
Coverage worship100% coverage, bugs still escapeMeasure bug escape rate instead
Test count focusMany tests, slow feedbackMeasure execution time
Activity metricsBusy work, no outcomesMeasure outcomes (MTTD, MTTR)
Point-in-timeSnapshot without contextTrack trends over time

Related Skills


Remember

Measure outcomes, not activities. Bug escape rate > test count. MTTD/​MTTR > coverage %. Trends > snapshots. Set gates that block bad code. What you measure is what you optimize.

With Agents: Agents track metrics automatically, analyze trends, trigger alerts, and make gate decisions. Use agents to maintain continuous quality visibility.

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