Development

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

Course Overview

  • Course Title: Data-Driven Quality Assurance & Quality Control: Metrics/KPI
  • Instructor: Andrii Piatakha (Founder & CEO of IT-Bulls, Learn-IT University)
  • Target Audience:
    • QA Engineers & Testers (manual/automation)
    • QA Leads & Managers seeking metric-driven improvements
    • Scrum Masters & Product Owners tracking product quality
    • DevOps/Agile practitioners integrating QA metrics
    • Beginners with basic QA knowledge (no advanced analytics required)
  • Prerequisites:
    • Basic understanding of software testing (manual/automated)
    • Experience with issue tracking tools (e.g., Jira)
    • Familiarity with test case management tools (e.g., TestRail)
    • Motivation to apply data-driven QA strategies

Curriculum Highlights

  • Key Topics Covered:

    • QA & QC Metrics/KPIs: Core differences and applications
    • Test Execution Metrics: Pass/fail ratios, flakiness, coverage (manual + automation)
    • Defect Analysis: Severity/priority trends, escape rates, root cause identification
    • Process Optimization: Retrospectives, technical debt reduction, cycle time improvements
    • Quality Measurement Frameworks: Test effectiveness, product readiness, coverage gaps
    • Automation ROI: Cost-benefit analysis of test automation efforts
    • Compliance & Audits: Metric-based reporting for regulatory requirements
    • Stakeholder Communication: Designing QA dashboards (Jira/Excel/TestRail)
    • OKRs & KPIs: Aligning QA goals with business objectives
    • Cost of Poor Quality (CoPQ): Quantifying financial impact of defects
    • Root Cause Analysis (RCA): Data-driven problem-solving techniques
  • Key Skills Learned:

    • Collect and interpret QA/QC metrics for decision-making
    • Build custom KPIs tailored to project needs
    • Analyze defect trends to predict quality risks
    • Measure test automation efficiency (coverage, flakiness, ROI)
    • Create actionable QA reports for technical/non-technical audiences
    • Apply metrics in Agile/DevOps for continuous improvement
    • Use data visualization tools (Excel, Jira dashboards, TestRail)
    • Set QA OKRs linked to team/product goals
    • Calculate test coverage effectiveness and gap analysis
    • Justify QA investments with metric-backed insights

Course Format

  • Duration: 5 hours on-demand video
  • Format: Self-paced online course (lifetime access)
  • Resources:
    • 2 downloadable articles (templates, checklists)
    • Practical exercises (KPI formulas, dashboard examples)
    • Certificate of completion
    • Mobile/TV access

(Note: Strictly factual; no promotional language or opinions included.)

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