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
Requirements
- Basic familiarity with how software testing works
- Knowledge of manual or automated quality assurance methods
- Experience using issue tracking tools like Jira or equivalent
- Hands-on use of tools that manage test cases, such as TestRail
- Motivation to apply metrics for QA improvements
- No specialized skills in programming or analytics required
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
Your Instructor
Andrii Piatakha
Founder and CEO in IT-Bulls, Founder of Learn-IT University
4.4 Instructor Rating
49,574 Reviews
1,179,427 Students
73 Courses
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