As a QA Leader, I build comprehensive testing strategies that balance speed, coverage, and human insight. I believe the best quality comes from combining automated regression with skilled manual testingβnot replacing one with the other.
My approach leverages Gen AI as a force multiplier:
- Risk-Based Decision Making: Allocating resources where they matter mostβcritical features and high-failure areas.
- Hybrid Quality Architecture: Combining the precision of Playwright/Selenium with AI-driven exploratory insights.
- AI-Accelerated Engineering: Implementing LLMs to automate the QA process & boiler plate automation codes.
- Organizational Maturity: Helping teams evolve from Level 1 (Ad-hoc) to Level 5 (Optimized), with emphasis on people and culture alongside processes.
π Strategic Roadmap: QA Transformation & Maturity Matrix
| Category | Artifact | Impact |
|---|---|---|
| π Strategy | Risk-Based Testing Matrix | Reduced testing cycles by 30% while maintaining coverage |
| π€ AI Innovation | Gen AI Transformation Guide | 50% faster test design, 40% reduction in flaky tests |
| π οΈ Frameworks | Multi-Layer Automation Strategy | High-performance Web, Mobile, and API architecture |
| π Business Value | QA Transformation Case Study | Level 1β5 maturity with measurable ROI |
| π― Operational | Three Amigos Checklist | 60% reduction in requirement defects |
π‘ This repository is actively maintained with new frameworks and case studies added regularly. Star β to stay updated!
Gen AI is not just for automation; it's a paradigm shift for the entire Quality Lifecycle.
- Exploratory Guidance: LLMs provide context-aware testing suggestions for edge cases.
- Smart Defect Reporting: Auto-summarize bugs with root cause hypotheses.
- π Project: GenAI-QA-Planning-Project | π¬ Watch Demo
- Test Design Acceleration: Generate Gherkin and Page Objects from User Stories in seconds.
- Self-Healing Frameworks: AI-adaptive locators for resilient UI testing.
- π Project: GenAI Integrated Playwright framework development | π¬ Watch Demo(https://youtu.be/BuX3Lan-9qM))
A comprehensive collection of frameworks, templates, and strategies for modern QA leadership
π New here? Check out the Quick Start Guide for a 5-minute tour!
This repository showcases production-ready artifacts I've developed across multiple QA transformations. Each section contains real-world templates, decision frameworks, and case studies.
π This Repository (Leadership Toolkit)
π¦ bastheboss7/
βββ π 01-Strategic-Governance/ # QA strategy, risk prioritization, tech stack decisions
β βββ QA_STRATEGY_ROADMAP.md # Maturity progression (Level 1β5)
β βββ RBT_PRIORITY_MATRIX.md # Risk-based testing decision framework
β βββ TECHNOLOGY_STACK.md # Automation tool selection guide
β
βββ π 02-People-Operations/ # Team development and collaboration
β βββ SKILLS_MATRIX.md # Competency tracking and growth planning
β βββ TEAM_WORKING_AGREEMENT.md # Psychological safety and team norms
β
βββ π 03-Operational-Delivery/ # Daily execution excellence
β βββ BLAMELESS_RCA.md # Incident analysis template
β βββ THREE_AMIGOS_CHECKLIST.md # Pre-sprint quality gate
β
βββ π 04-Business-Value-ROI/ # Executive-level impact reporting
β βββ CASE_STUDY_TRANSFORMATION.md # Real-world transformation story
β βββ GEN_AI_TRANSFORMATION.md # AI-driven QA acceleration
β βββ QA_VALUE_REPORT.md # Metrics that matter to leadership
β
βββ π 05-Practical-Examples/ # Ready-to-use templates
βββ DEFECT_REPORT_TEMPLATE.md # Industry-standard bug reporting
βββ SPRINT_RETROSPECTIVE_TEMPLATE.md # Continuous improvement facilitation
βββ TEST_SCENARIO_TEMPLATES.md # BDD/Gherkin examples
π οΈ Technical Implementation (Automation Repositories)
For hands-on automation frameworks and live code examples, visit my technical portfolio:
| Framework | Technology | Repository |
|---|---|---|
| π Web Automation | Java + Selenium + BDD | WebBrowserAutomation_BDD_Framework |
| π± Mobile Testing | Java + Appium | MobileAutomation_BDD_Framework |
| π Modern Web UI | TypeScript + Playwright | Playwright_WebUI |
| βοΈ API Testing | Java + Rest-Assured | evri-api-automation-framework |
| π€ AI Integration | Python + OpenAI | GenAI-Jira-Integration |
π‘ This repo = Strategy, frameworks, and leadership templates
π‘ Those repos = Production-ready automation code and architecture
Building high-trust teams that balance speed, quality, and human wellbeing.
π For Hiring Managers & Executives:
- QA Transformation Case Study - Real impact with metrics
- Gen AI Strategy & ROI - Modernization approach
- QA Value Report Template - How I report to leadership
π― For QA Leaders & Peers:
- Risk-Based Testing Matrix - Decision framework
- QA Maturity Roadmap - Strategic progression
- Technology Stack Selection - Tool evaluation criteria
π₯ For Team Members & Coaches:
- Skills Matrix - Career development tracking
- Team Working Agreement - Collaboration norms
- Blameless RCA Template - Learning from incidents
β‘ For Practitioners & Contributors:
- Three Amigos Checklist - Pre-sprint quality gate
- Defect Report Template - Professional bug tracking
- Test Scenario Examples - BDD/Gherkin patterns
- Risk-Based Testing: Data-driven approach to deciding which tests should be automated vs. manual.
- Exploratory Testing: Leading skilled testers in discovering unknown unknowns through strategic, unscripted testing.
- Shift-Left Testing: Embedding quality early in the development lifecycle through collaboration with developers and product teams.
- Gen AI-Driven Insights: Leveraging LLMs for test design generation, failure analysis, and continuous improvement recommendations.
See the "π οΈ Technical Implementation (Automation Repositories)" table above for my hands-on, production-grade frameworks across Web, Mobile, API, and Gen AI. Each repo demonstrates best practices, architecture, and CI/CD integration.
- Cloud-Scale Testing: BrowserStack, Docker, parallel grid execution for Web, Mobile, and API layers
- CI/CD Integration: GitHub Actions, Jenkins pipelines, and continuous quality gates
- Smart Automation: AI-assisted test generation, self-healing selectors, and intelligent failure triage
- Prompt Engineering: Custom system prompts for test case generation, defect analysis, and exploratory testing guidance
- LLM-Driven Testing: OpenAI/Gemini integration for real-time testing recommendations and intelligent decision-making
- Synthetic Data & Mocking: AI-generated realistic test data, edge cases, and user scenarios
- Intelligent Triage: Automated incident classification, RCA summaries, and Jira ticket enrichment
- Mobile, Web, and API automation frameworks for high-scale products
- QA transformation initiatives: Level 1 β Level 5 maturity with Gen AI acceleration
- Cross-functional team coaching on hybrid manual + automation + AI testing models
- 30-50% reduction in escaped defects through risk-based strategy + Gen AI insights
- 60% reduction in test design time using AI-assisted test case generation
- LinkedIn: [https://www.linkedin.com/in/baskar-qa-lead/]
- Email: [bskr_5chennai@yahoo.co.in]
π‘ This repository is actively maintained with new frameworks and case studies added regularly. Star β to stay updated!
