Udemy - Data-Driven Quality Assurance and Quality Control - Metri...

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

https://WebToolTip.com

Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.61 GB | Duration: 4h 49m

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

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