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


Explore QA & QC Metrics & KPIs, defect trends, automation & manual testing KPIs, and quality measurement strategies

What you will learn


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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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