Test Reporting & Analytics

<default_to_action> When building test reports:

• DEFINE audience (dev team vs executives)

• CHOOSE key metrics (max 5-7)

• SHOW trends (not just snapshots)

• HIGHLIGHT actions (what to do about it)

• AUTOMATE generation

Dashboard Quick Setup:

+------------------+------------------+------------------+ | Tests Passed | Code Coverage | Flaky Tests | | 1,247/1,250 ✅ | 82.3% ⬆️ +2.1% | 1.2% ⬇️ -0.3% | +------------------+------------------+------------------+ | Critical Bugs | Deploy Freq | MTTR | | 0 open ✅ | 12x/day ⬆️ | 2.3h ⬇️ | +------------------+------------------+------------------+

Key Metrics by Audience:

• Dev Team: Pass rate, flaky %, execution time, coverage gaps

• QE Team: Defect detection rate, test velocity, automation ROI

• Leadership: Escaped defects, deployment frequency, quality cost </default_to_action>

Quick Reference Card

Essential Metrics

Category Metric Target

Execution Pass Rate

98%

Execution Flaky Test % <2%

Execution Suite Duration <10 min

Coverage Line Coverage

80%

Coverage Branch Coverage

70%

Quality Escaped Defects <5/release

Quality MTTR <4 hours

Efficiency Automation Rate

90%

Trend Indicators

Symbol Meaning Action

⬆️ Improving Continue current approach

⬇️ Declining Investigate root cause

➡️ Stable Maintain or improve

⚠️ Threshold breach Immediate attention

Report Types

Real-Time Dashboard

Live quality status for CI/CD

• Build status (green/red)
• Test results (pass/fail counts)
• Coverage delta
• Flaky test alerts

Sprint Summary

Sprint 47 Quality Summary

Metrics

Highlights

• ✅ Zero escaped defects
• ⚠️ E2E suite now 45min (target: 30min)

Actions

1. Optimize slow E2E tests
2. Add coverage for payment module

Executive Report

Monthly Quality Report - Oct 2025

Executive Summary

✅ Production uptime: 99.97% (target: 99.95%) ✅ Deploy frequency: 12x/day (up from 8x) ⚠️ Coverage: 82.3% (target: 85%)

Business Impact

• Automation saves 120 hrs/month
• Bug cost: $150/bug found vs $5,000 escaped
• Estimated annual savings: $450K

Recommendations

1. Invest in performance testing tooling
2. Hire senior QE for mobile coverage

Predictive Analytics

// Predict test failures const prediction = await Task("Predict Failures", { codeChanges: prDiff, historicalData: last90Days, model: 'gradient-boosting' }, "qe-quality-analyzer");

// Returns: // { // failureProbability: 0.73, // likelyFailingTests: ['payment.test.ts'], // suggestedAction: 'Review payment module carefully', // confidence: 0.89 // }

// Trend analysis with anomaly detection const trends = await Task("Analyze Trends", { metrics: ['passRate', 'coverage', 'flakyRate'], period: '30d', detectAnomalies: true }, "qe-quality-analyzer");

Agent Integration

// Generate comprehensive quality report const report = await Task("Generate Quality Report", { period: 'sprint', audience: 'executive', includeROI: true, includeTrends: true }, "qe-quality-analyzer");

// Real-time quality gate check const gateResult = await Task("Quality Gate Check", { metrics: currentMetrics, thresholds: qualityPolicy, environment: 'production' }, "qe-quality-gate");

Agent Coordination Hints

Memory Namespace

aqe/reporting/ ├── dashboards/* - Dashboard configurations ├── reports/* - Generated reports ├── trends/* - Trend analysis data └── predictions/* - Predictive model outputs

Fleet Coordination

const reportingFleet = await FleetManager.coordinate({ strategy: 'quality-reporting', agents: [ 'qe-quality-analyzer', // Metrics aggregation 'qe-quality-gate', // Threshold validation 'qe-deployment-readiness' // Release readiness ], topology: 'parallel' });

Related Skills

• quality-metrics - Metric definitions

• shift-right-testing - Production metrics

• consultancy-practices - Client reporting

Remember

Measure to improve. Report to communicate.

Good reports:

• Answer "so what?" (actionable insights)

• Show trends (not just snapshots)

• Match audience needs

• Automate where possible

Data without action is noise. Action without data is guessing.