Enhance Software Quality with Essential QA Metrics

Delivering high-quality software is a necessity in today’s fast-paced development landscape, but it’s equally important to quantify that quality through metrics. The course “QA Metrics & KPIs: Testing, Defect Tracking & Automation” is designed to empower QA professionals with the knowledge to track, analyze, and optimize quality assurance performance effectively. This comprehensive workshop focuses on providing practical, actionable insights into measuring software quality, which goes beyond intuition and guesswork.

Throughout the course, you’ll delve into various metrics crucial for assessing your testing efforts. From understanding test case pass/fail rates to calculating defect density and leakage rates, this course covers all the essential aspects of QA metrics. You’ll gain insights into key performance indicators (KPIs) that matter, learn how to establish effective reporting systems, and discover tools that help in creating stakeholder-facing reports. By the end, you’ll have a well-rounded understanding of how to leverage data for continuous quality improvements and how to communicate this effectively across your organization.

This course isn’t just about theoretical knowledge; it’s a practical toolkit filled with templates, formulas, and real-world examples. Whether you’re a manual tester looking to demonstrate the value of your work through data or an automation engineer needing to show ROI and stability, you’ll find valuable resources here. Get ready to transform your testing process into a measurable and impactful asset with the power of metrics, ensuring that your software is not only high-quality but also provably so.

What you will 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 Content:

• Sections: 5
• Lectures: 15
• Duration: 4h 51m

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.

Who is it for?

• 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.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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