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 You’ll also get actionable tools: KPI templates, metric dashboards, formulas, and checklists you can use in real-world projects. Who Is This Course For? This course is ideal for: QA Engineers & Testers aiming to make their work more measurable and visible Automation Testers looking to quantify their frameworks’ effectiveness QA Leads & Managers seeking to implement or improve their team’s quality metrics Scrum Masters & Product Owners who want real-time insights into product and process quality Anyone involved in software quality and delivery who wants to speak the language of data Why Metrics Matter In Agile and DevOps environments, decisions are made fast—and without data, QA can get left behind. This course teaches you how to bring clarity and credibility to your testing efforts . With real metrics, you can show exactly what’s working, what needs fixing, and how to prioritize your team's time effectively. By the end of this course, you’ll be confident in building and using a QA metrics framework that drives real improvement—and gets noticed by your team, stakeholders, and leadership. Join now and start delivering quality that’s not just good—but measurable. Who this course is for: Manual QA professionals aiming to showcase their impact through data Automation testers who need to quantify framework efficiency and consistency QA supervisors and team leads looking to apply measurable quality standards Agile testing specialists focused on integrating metrics into fast delivery environments Product owners and business analysts wanting actionable insights from QA metrics Software engineers interested in understanding how QA data can improve development Project coordinators managing delivery timelines and quality expectations Delivery leads responsible for monitoring release stability and defect rates Engineering managers using metrics to evaluate team and process performance Product managers aligning quality insights with product objectives and roadmaps System architects examining how architecture influences software quality and issue trends