Launch ChatGPT QA Release Process

Project Context

OpenAI is standardizing the QA process for a new ChatGPT web release that adds conversation export, improved error handling, and updated safety messaging. You are the QA Engineer assigned to drive execution across a 10-person cross-functional team: 4 engineers, 2 product managers, 2 designers, 1 data analyst, and you. Leadership wants the release live in 6 weeks because it is tied to a public product update and support volume has increased 18% due to current UX issues.

Key Stakeholders

The ChatGPT Product Manager wants the full feature set shipped on time. The Engineering Manager wants to minimize production risk because the team is also supporting two active incident follow-ups. The Safety team requires validation that the updated messaging appears correctly in all high-risk flows. Support Operations wants fewer user-facing failures and clearer rollback criteria.

Constraints

You have 6 weeks total, a QA budget of $35,000 for external device/browser coverage, and no additional headcount. The release includes 3 major user-facing changes, 14 acceptance criteria, and dependencies on one backend API update and one analytics instrumentation update. The team supports 5 core browser/device combinations that must be covered before launch. A code freeze is scheduled for the end of Week 5.

Complications

1. The backend API team says their endpoint may slip by 5 business days.
2. Analytics instrumentation is only 60% complete, which could block validation of post-launch success metrics.
3. A PM is pushing to include one additional “nice-to-have” UI improvement after scope was already agreed.

Deliverables

1. Build a 6-week execution plan for QA, test readiness, and launch support.
2. Define how you would work across the software development lifecycle, from requirements review through post-launch monitoring.
3. Recommend scope trade-offs if the API dependency slips by one week.
4. Identify the top risks, mitigations, and launch/rollback criteria.
5. Specify the success metrics you would track during the first 14 days after launch.