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.
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.