End-to-End QA Case Study ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

A real-world manual QA case study covering AI safety testing, functional testing, usability analysis, and exploratory testing — built from 13 accepted bug reports across 6 live and pre-production platforms.

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Testing Types: AI Safety | Functional | Usability | Exploratory | Performance Platforms: PBS Kids | Canva | Connexus (EdTech) | Headspace | Iberostar | Staffbase Environment: Web | iOS | MacOS | Pre-Production Period: 2023 – 2026 Test Cases: 14 written test cases Bugs via Test IO: 500+ lifetime accepted reports Tools Used: Test IO | Browser DevTools | Screen Recording | Google Drive

KEY ACHIEVEMENTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🤖 AI SAFETY TESTING — CRITICAL FINDINGS Identified 20+ critical AI guardrail failures across educational and mental health platforms, including a self-harm statement ignored by an EdTech AI tool, a step-by-step lab danger guide generated in response to a malicious prompt, and an emergency safety modal that failed to reappear on repeat crisis input in a mental health app.

⚙️ 500+ ACCEPTED BUG REPORTS (TEST IO) Consistent high-acceptance-rate manual testing across web, iOS, and MacOS platforms over 3+ years of remote QA work — covering functional flows, edge cases, and platform-specific regressions.

🔍 CROSS-PLATFORM FUNCTIONAL COVERAGE Identified high-severity functional failures across 6 platforms including complete game freezes on critical user flows, broken scheduling features, and missing media controls on shape-specific recordings.

🧪 USABILITY ANALYSIS — E-COMMERCE Conducted structured usability evaluation of a live e-commerce product, documenting 4 actionable UX findings covering readability, personalization, content export, and spatial visualization gaps.

🌐 MULTI-ENVIRONMENT TESTING Tested across live production, pre-production, and test environments — iOS, MacOS, Firefox, and web — demonstrating adaptability across real-world QA conditions.

📊 STRUCTURED AI SCORING

Applied a consistent scoring framework (Accuracy, Coherence, Consistency, Guardrails, User Satisfaction) across all AI testing sessions, producing quantified and comparable AI behavior analysis.

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✅ AI safety and guardrail testing on live EdTech and mental health AI products ✅ Structured prompt design including normal, edge case, adversarial, and benign test inputs ✅ AI response scoring using a multi-criterion evaluation framework ✅ Functional testing across web, iOS, and MacOS covering happy path, negative path, and boundary conditions ✅ Usability evaluation with documented findings and actionable improvement recommendations ✅ Cross-browser and cross-device testing (Firefox, Chrome, Safari — iOS and Desktop) ✅ High-quality bug reporting with full reproduction steps, environment details, and impact statements ✅ Remote, self-managed QA execution with 500+ accepted reports on Test IO ✅ Pre-production and staging environment testing