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QA Metrics & KPIs: Testing, Defect Tracking & Automation

4.50
9,967 students
5h 9m
Updated Feb 2026

What you'll learn

How to define meaningful QA metrics and KPIs
Test case execution tracking and analysis
Measuring test coverage and test effectiveness
Calculating defect density and leakage rates
Understanding severity vs. priority in defects
How to assess test automation ROI
Tracking and reducing test flakiness
Using metrics in retrospectives and process reviews
Identifying and addressing QA bottlenecks
Metrics for evaluating sprint test readiness
Prioritizing tests with risk-based approaches
Leveraging defect trends to optimize coverage
Calculating mean time to detect and fix defects
Evaluating automation coverage and execution time

Course Description

Deliver Better Software Through Measurable Quality – Learn to Track, Analyze, and Optimize QA Performance

In today’s fast-paced development world, delivering high-quality software isn’t enough—you need to prove it with metrics. That’s where this course comes in.

QA Metrics Workshop: Testing, Defect Tracking & Automation is a practical, in-depth course designed to help QA professionals leverage data and key performance indicators (KPIs) to improve testing efficiency, reduce risk, and boost software quality. Whether you work in a manual testing, automation, or agile QA environment, this course will help you transform your testing process into a measurable, strategic asset.


What This Course Offers

You’ll learn not just what metrics to track, but why they matter, how to calculate them, and when to apply them. We’ll cover all key areas of modern QA work:

  • Test Metrics: Test case pass/fail rates, execution progress, test coverage, defect detection effectiveness, and more

  • Defect Metrics: Defect density, leakage rate, mean time to detect/fix, severity/priority distribution

  • Test Automation KPIs: Automation coverage, stability, ROI, execution time, flakiness rate

  • Reporting & Dashboards: learn metrics tha will help you to build stakeholder-facing reports using tools like Jira, TestRail, Excel, and custom dashboards

  • QA Process Improvement: Use metrics to drive retrospectives, quality gates, and team performance evaluations

  • Agile QA Metrics: Story-level quality, velocity-to-bug ratio, sprint test readiness, continuous testing indicators

  • Risk-Based Testing: Prioritize efforts based on impact, past defect trends, and test effectiveness

You’ll also get templates, formulas, KPI scorecards, and visual dashboard examples that you can adapt directly into your projects.


Who This Course Is For

  • Manual Testers who want to better demonstrate their impact through test results

  • Automation Engineers who need to show ROI and stability of their frameworks

  • QA Leads & Managers looking to implement measurable quality processes and KPIs

  • Agile QA Practitioners who need to align quality metrics with fast delivery cycles

  • Business Analysts & Product Owners who want to understand what QA metrics actually say about product health


What You’ll Gain

By the end of this course, you will:

  • Be able to define, collect, and report on metrics that matter to your project

  • Know how to communicate test status and quality to developers, PMs, and execs

  • Be confident in using data to drive continuous QA process improvements

  • Have practical tools and ready-to-use templates that make metrics actionable

This isn’t a theoretical course. It’s a practical QA toolkit packed with examples, industry best practices, and data you can start applying immediately to improve your QA outcomes and career.

Enroll now and make your testing efforts visible, valuable, and impactful through the power of metrics.

Requirements

  • Basic understanding of software testing concepts
  • Familiarity with QA processes (manual or automated)
  • Experience with defect tracking tools (e.g., Jira, Bugzilla)
  • Some exposure to test case management tools (e.g., TestRail, Zephyr)
  • Interest in data-driven QA and continuous improvement
  • No advanced programming or statistics knowledge required
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QA Metrics & KPIs: Testing, Defect Tracking & Automation

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Course Details

  • Level All Levels
  • Lectures 16
  • Duration 5h 9m