Generates comprehensive tests with AI. Understands AI code failure patterns. Targets testing accordingly.
| Core KRA | Expected Behaviors |
|---|---|
| Advanced Test Design | Designs complex test scenarios covering edge cases, integrations, and error conditions |
| AI-Generated Code Testing | Understands how AI-generated code typically fails (hallucinated APIs, incorrect edge cases, security gaps); targets testing accordingly |
| AI-Assisted Test Generation | Uses AI to generate comprehensive test suites; validates coverage; refines prompts for better test output |
| Automation Basics | Writes and maintains basic automated tests; understands automation framework fundamentals |
| Performance Testing Awareness | Understands performance testing concepts; uses AI to generate performance test scenarios |
| Quality Metrics | Tracks and reports quality metrics; identifies trends; proposes improvements |
| Core KRA | Expected Behaviors |
|---|---|
| Feature Ownership | Owns end-to-end delivery of assigned features/modules; responsible for output quality regardless of AI assistance level |
| Accurate Estimation | Provides realistic effort estimates; reviews junior engineers' estimations; factors in AI-assisted velocity and validation overhead |
| Requirement Clarity | Proactively clarifies functional and non-functional requirements; identifies gaps early; designs workflows combining human judgment with AI generation |
| Reliable Execution | Consistently delivers work on time with minimal rework or defects |
| Risk Identification & Communication | Flags risks/blockers early; proposes mitigation steps; identifies when AI assistance is unreliable for specific tasks |
| Core KRA | Expected Behaviors |
|---|---|
| Effective Collaboration | Works closely with engineering, design, and product teams; participates actively in discussions |
| QA Mentoring | Guides QA I engineers on test design, AI tool usage, and best practices |
| Cross-Team Collaboration | Works with developers to understand AI-assisted development patterns; aligns testing approach |
| Continuous Learning | Upskills consistently through courses, experimentation, and self-learning; stays current on AI tool capabilities |
| Knowledge Sharing | Shares best practices, tools, reusable patterns, effective prompts, and learnings with the team |
| Core KRA | Expected Behaviors |
|---|---|
| Understanding Client Needs | Demonstrates clear understanding of client expectations, business context, and functional objectives |
| Professional Communication | Communicates clearly and confidently in client calls, demos, and requirement discussions |
| Feedback Integration | Incorporates client feedback effectively into iterations; aligns deliverables with expectations |
| Client Advocacy | Represents client requirements accurately during planning or internal discussions |