test-reporting-analytics

Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.

About test-reporting-analytics

test-reporting-analytics is a Claude AI skill developed by proffesor-for-testing. Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions. This powerful Claude Code plugin helps developers automate workflows and enhance productivity with intelligent AI assistance.

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2025-11-09

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nametest-reporting-analytics
descriptionAdvanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.
categoryanalytics
priorityhigh
tokenEstimate850
agents["qe-quality-analyzer","qe-quality-gate","qe-deployment-readiness"]
implementation_statusoptimized
optimization_version1
last_optimized"2025-12-03T00:00:00.000Z"
dependencies[]
quick_reference_cardtrue
tags["reporting","analytics","dashboards","metrics","trends","predictive"]

Test Reporting & Analytics

<default_to_action> When building test reports:

  1. DEFINE audience (dev team vs executives)
  2. CHOOSE key metrics (max 5-7)
  3. SHOW trends (not just snapshots)
  4. HIGHLIGHT actions (what to do about it)
  5. 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

CategoryMetricTarget
ExecutionPass Rate>98%
ExecutionFlaky Test %<2%
ExecutionSuite Duration<10 min
CoverageLine Coverage>80%
CoverageBranch Coverage>70%
QualityEscaped Defects<5/release
QualityMTTR<4 hours
EfficiencyAutomation Rate>90%

Trend Indicators

SymbolMeaningAction
⬆️ImprovingContinue current approach
⬇️DecliningInvestigate root cause
➡️StableMaintain or improve
⚠️Threshold breachImmediate 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 | Metric | Value | Trend | |--------|-------|-------| | Tests Added | +47 | ⬆️ | | Coverage | 82.3% | ⬆️ +2.1% | | Bugs Found | 12 | ➡️ | | Escaped | 0 || ### 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


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.

proffesor-for-testing

proffesor-for-testing

agentic-qe

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