Qa Metrics & Kpis: Testing, Defect Tracking & Automation

Master QA & QC metrics, test planning, bug tracking, test automation KPIs, and QA reporting techniques

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

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

Description

Deliver Better Software Through Measurable Quality – Learn to Track, Analyze, and Optimize QA PerformanceIn 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 OffersYou’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 moreDefect Metrics: Defect density, leakage rate, mean time to detect/fix, severity/priority distributionTest Automation KPIs: Automation coverage, stability, ROI, execution time, flakiness rateReporting & Dashboards: learn metrics tha will help you to build stakeholder-facing reports using tools like Jira, TestRail, Excel, and custom dashboardsQA Process Improvement: Use metrics to drive retrospectives, quality gates, and team performance evaluationsAgile QA Metrics: Story-level quality, velocity-to-bug ratio, sprint test readiness, continuous testing indicatorsRisk-Based Testing: Prioritize efforts based on impact, past defect trends, and test effectivenessYou’ll also get templates, formulas, KPI scorecards, and visual dashboard examples that you can adapt directly into your projects.Who This Course Is ForManual Testers who want to better demonstrate their impact through test resultsAutomation Engineers who need to show ROI and stability of their frameworksQA Leads & Managers looking to implement measurable quality processes and KPIsAgile QA Practitioners who need to align quality metrics with fast delivery cyclesBusiness Analysts & Product Owners who want to understand what QA metrics actually say about product healthWhat You’ll GainBy the end of this course, you will:Be able to define, collect, and report on metrics that matter to your projectKnow how to communicate test status and quality to developers, PMs, and execsBe confident in using data to drive continuous QA process improvementsHave practical tools and ready-to-use templates that make metrics actionableThis 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.

Overview

Section 1: Introduction

Lecture 1 Communication plan

Lecture 2 Tips to Improve Your Course Taking Experience

Section 2: Defect Management Metrics & KPIs

Lecture 3 Defect Management Metrics & KPIs: Number of Open Defects & Defect Leakage

Lecture 4 Defect Management Metrics & KPIs: Defects per Severity/Priority/Env/Root cause

Lecture 5 Defect Management Metrics & KPIs: Defect Density, Non-Resolved Blockers & Others

Lecture 6 Defect Management Metrics & KPIs: Quality Debt Index, Bug Fixing Projection

Lecture 7 Defect Reopen, Defect Rejection, Open Defects Change Rate, Removal Efficiency

Lecture 8 Defect Resolution Time, Defect Age, Detection to Resolution Ratio

Section 3: Testing Metrics & KPIs

Lecture 9 Test execution coverage, Cost of Quality & Test Design Coverage

Lecture 10 Testing Metrics & KPIs: Regression Time, Verified Issues Rate, Pass Rate

Section 4: Test Automation Metrics & KPIs

Lecture 11 % of Poduct, Automation, System Issues & Execution Frequency

Lecture 12 Execution Time, Test Success Ratio & % of Results Analyzed

Lecture 13 Regression Effectiveness, Percentage of Automated Tests & Auto Savings

Section 5: Bonus Section

Lecture 14 Bonus Lesson

Manual testers wanting to show the value of their work with data,Automation test engineers needing to demonstrate ROI and reliability,QA leads and managers aiming to implement metric-driven processes,Agile QA professionals aligning testing with fast-paced delivery,Business analysts and product owners seeking insights into product quality through QA metrics,Software developers who want to understand QA impact and feedback loops,Project managers looking to track quality and delivery risk,Delivery managers focused on release readiness and defect trends,Engineering managers aiming to improve team performance through data,Product managers who need to align quality signals with product goals,Software architects interested in the relationship between system design and defect patterns