Standardize Test Case Management for ChatGPT

Project Background

OpenAI's QA organization currently manages test cases for ChatGPT web, mobile, and API-adjacent user flows across multiple tools: TestRail for manual regression, Jira for defect links, Confluence for legacy test plans, and ad hoc spreadsheets owned by individual teams. Leadership wants a single operating model for test case management before the next major ChatGPT release in 10 weeks.

You are the QA Engineer leading execution for this effort across a team of 8 QA engineers, 2 SETs, 1 product manager, and 3 engineering managers. The goal is not just to name tools you have used, but to decide how to consolidate workflows, migrate critical assets, and launch a repeatable process with minimal disruption to release quality.

Key Stakeholders

The Head of QA wants better coverage visibility and fewer duplicate test cases. Engineering managers want minimal process overhead and do not want release velocity to slow. The ChatGPT product manager wants launch readiness reporting tied to high-risk user journeys. Security and compliance want auditable evidence for sign-off on sensitive flows such as account access, billing, and data controls.

Constraints

• Timeline: 10 weeks until release readiness review
• Budget: $45,000 for tooling, migration support, and training
• Scope: 3 surfaces (ChatGPT web, iOS/Android, and account/billing flows)
• Existing assets: ~4,800 test cases across 4 systems
• Team capacity: no additional headcount; 2 QA engineers are only available 50% due to release support

Complications

1. The mobile QA lead prefers keeping a separate workflow because mobile release cadence differs from web.
2. Roughly 30% of existing test cases are outdated or duplicated, but no team agrees on ownership for cleanup.
3. Procurement says any net-new vendor contract will take 6 weeks, leaving little room for implementation risk.

Your Task

1. Recommend a test case management approach and rollout plan.
2. Define migration scope, prioritization, and trade-offs for what not to migrate before launch.
3. Create a stakeholder plan to align QA, engineering, product, and compliance.
4. Propose launch readiness criteria and reporting for the next ChatGPT release.
5. Identify key risks, mitigations, and fallback options if tool consolidation slips.