Data-Driven Quality Assurance & Quality Control: Metrics/KPI

Build a Metrics-Driven QA Practice with Confidence – Learn to Measure, Improve, and Communicate Software Quality
In modern software development, data is power — and that includes Quality Assurance. Whether you're testing manually, leading automation, or managing QA teams, the ability to collect and interpret the right QA metrics is what separates guesswork from strategy.
"Data-Driven Quality Assurance & Quality Control: QA Metrics" is a complete, practical guide to understanding and applying the most critical metrics in QA and QC. You’ll learn how to identify key trends, track testing performance, and present your results in a way that makes sense to both technical and non-technical stakeholders.
What This Course Covers:
Core QA & QC Metrics and KPIs : Understand the key differences and how both play a role in measuring quality

Automation & Manual Testing KPIs : Learn metrics for both types of testing—execution rates, pass/fail ratios, flakiness, automation coverage

Defect Metrics & Trends : Discover how to use data to identify patterns, root causes, and quality risks

Quality Measurement Strategies : Apply frameworks for tracking test coverage, product readiness, test case effectiveness, and more

Process Improvement Through Metrics : Use historical data to drive retrospectives, reduce technical debt, and optimize test cycles

QA Dashboards & Reporting Techniques : Learn new things that will help you to build compelling, visual summaries using tools like Jira, Excel, or TestRail