How to Build an Automated QA KPI Dashboard for Playwright and BDD Pipelines

Manual tracking of test automation metrics often produces outdated data and obscures engineering gaps, prompting teams to adopt automated reporting from test suites like Playwright and Cucumber. A structured KPI dashboard can surface key indicators such as pass rates, execution time, flaky test rates, and CI/CD pipeline health in real time. A sample setup with 120 tests — 94 automated and 26 manual — showed a 92% pass rate, 1.5% flakiness, and a 98% CI/CD success rate as of late May 2026. Trend data across six consecutive runs revealed steady improvement in pass rates and execution speed, while dependency resolution errors were identified as the primary cause of pipeline failures. Recommended next steps include pushing automated coverage above 90%, refactoring flaky scenarios, resolving dependency caching issues, and cutting suite runtime below 25 minutes through parallel execution.