Data-Driven Quality Assurance & Quality Control: Metrics/KPI
Explore QA & QC Metrics & KPIs, defect trends, automation & manual testing KPIs, and quality measurement strategies
1 346
students
5 hours
content
May 2025
last update
$19.99
regular price
What you will 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
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6643217
udemy ID
29/05/2025
course created date
17/06/2025
course indexed date
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