Tracking test automation metrics manually often leads to outdated figures and missed engineering gaps. To solve this, automated reporting directly from your test suites—such as Playwright and Cucumber—provides clear visibility into health, execution speed, and coverage.
Below is a breakdown of how to structure an Automation KPI Dashboard to streamline test metrics, track trends, and establish actionable engineering goals.
Executive Summary Dashboard
| KPI Metric | Target | Current Value | Status | Trend |
|---|---|---|---|---|
| Total Test Cases | 100% coverage | 85% | 🟡 Partial | ↗️ Up |
| Automated Test Coverage | 90%+ | 78% | 🟡 Partial | ↗️ Up |
| Pass Rate (Last Run) | 95%+ | 92% | 🟡 Partial | ↔️ Stable |
| Avg. Execution Time | < 30 min | 28 min | 🟢 Good | ↘️ Down |
| Flaky Test Rate | < 2% | 1.5% | 🟢 Good | ↔️ Stable |
| Defects Detected | — | 3 | 🟡 Review | ↔️ Stable |
| CI/CD Pipeline Success | 100% | 98% | 🟡 Partial | ↗️ Up |
Key Metric Breakdowns
1. Coverage & Execution
- Total Test Suite: 120 tests (94 Automated, 26 Manual).
- Latest Run (2026-05-29): 94 executed — 87 passed, 7 failed, 0 skipped.
2. Flakiness Tracking
- Flaky Tests (Last 10 Runs): 2 scenarios identified.
-
Top Offenders:
- Scenario A: UI timeout issues.
- Scenario B: Data synchronization lag.
3. Defect Detection & CI/CD Performance
- Defect Lifecycle: 3 opened, 1 closed (Avg. resolution time: 2 days).
- Pipeline Health: 98% success rate, 12 min average build time.
- Primary Cause of Pipeline Failure: Dependency resolution errors.
Execution & Pass Rate Trends (Last 6 Runs)
| Run Date | Pass % | Fail % | Flaky % | Duration (min) |
|---|---|---|---|---|
| 2026-05-29 | 92% | 8% | 2% | 28 |
| 2026-05-28 | 91% | 9% | 2% | 29 |
| 2026-05-27 | 90% | 10% | 3% | 30 |
| 2026-05-26 | 89% | 11% | 3% | 31 |
| 2026-05-25 | 88% | 12% | 4% | 32 |
| 2026-05-24 | 87% | 13% | 4% | 33 |
Next Engineering Action Items
- Automation Expansion: Push total automated coverage past 90%.
- Flakiness Mitigation: Refactor explicit waits and isolation for UI timeout and data sync scenarios.
- Pipeline Stability: Resolve dependency caching errors to bring CI/CD success to 100%.
- Optimization: Lower execution suite duration below 25 minutes using parallel run setups.
Implementation Note: This dashboard context can be auto-generated by parsing execution JSON outputs (from frameworks like Playwright or Cucumber BDD) directly into your CI/CD reporting artifacts after every major test cycle or sprint.
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