Explore QA & QC Metrics & KPIs, defect trends, automation & manual testing KPIs, and quality measurement strategies
Build a Metrics-Driven QA Practice with Confidence – Learn to Measure, Improve, and Communicate Software Quality
What you’ll learn
- Monitoring and analyzing the progress of test case execution.
- Creating actionable insights from defect trends.
- Spotting inefficiencies or slowdowns in QA processes.
- Measuring defect concentration and how often bugs escape to production.
- Identifying gaps in test scenarios using metrics.
- Estimating the return on investment from test automation efforts.
- Using metric-driven approaches to improve test planning.
- Combining manual and automated metrics.
- Measuring productivity of QA teams over time.
- Set QA & QC KPIs and tailoring them to project needs.
- Using test metrics to support compliance and audits.
- Using metrics to evaluate quality level on a project.
- Quantifying the cost of poor quality (CoPQ).
- Building metric-based QA OKRs for teams.
- Using metrics to support root cause analysis sessions.
- Differentiating between bug severity and priority for better triaging.
- Designing reports that clearly communicate QA results to stakeholders.
- Using data during retrospectives to improve QA strategies.
- How to identify and define useful QA indicators and performance metrics.
- Evaluating how much of the system is tested and how effective the tests are.
Course Content
- Introduction –> 2 lectures • 5min.
- Defect Management Metrics & KPIs –> 6 lectures • 2hr 42min.
- Testing Metrics & KPIs –> 2 lectures • 51min.
- Test Automation Metrics & KPIs –> 3 lectures • 1hr 9min.
- Bonus Section –> 1 lecture • 3min.
Requirements
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.