Free Udemy Course __ Defect Management & QA Reporting: Metrics & KPIs

Learn defect lifecycle, bug tracking, Quality Assurance (QA) & Quality Control (QC) KPIs, metrics analysis, & reporting

4.5 (4,450 students students enrolled) English
devops Development Tools
Defect Management & QA Reporting: Metrics & KPIs

What You'll Learn

  • Selecting the right QA metrics for your project
  • Interpreting trends in test result data
  • Aligning QA metrics with business objectives
  • Detecting quality issues early using metrics
  • Integrating metrics into sprint planning
  • Using KPIs to support go/no-go decisions
  • Setting metric-based quality gates
  • Using data to justify QA resource needs
  • Visualizing test progress over time
  • Monitoring automation stability with key indicators
  • Analyzing root causes of recurring defects
  • Supporting team retrospectives with hard QA data
  • Driving test strategy with measurable outcomes

Requirements

  • General knowledge of software testing principles
  • Understanding of QA workflows, whether manual or automated
  • Prior use of bug tracking systems like Jira or similar
  • Experience working with test management platforms such as TestRail or Zephyr
  • A desire to improve QA through data and metrics
  • No need for deep coding or statistical skills

Who This Course is For

  • Manual testers looking to validate their contributions using measurable outcomes
  • Automation specialists aiming to prove the effectiveness and stability of their frameworks
  • QA leaders and coordinators seeking to build data-driven quality processes
  • Agile quality professionals working to synchronize testing with rapid development cycles
  • Business analysts and product owners wanting a clearer view of product health through QA metrics
  • Developers interested in leveraging QA insights to improve code quality and reduce defects
  • Project leaders who need to oversee quality levels and manage risks effectively
  • Delivery heads focused on ensuring release quality and identifying potential blockers
  • Engineering leaders aiming to track and enhance team output using quality indicators
  • Product strategists wanting to connect quality data to product planning and outcomes
  • Architects who want to analyze how design choices impact defects and system stability

Your Instructor

Andrii Piatakha

Founder and CEO in IT-Bulls, Founder of Learn-IT University

4.4 Instructor Rating

48,723 Reviews

1,165,969 Students

73 Courses

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