Incorporate Feedback Before Eval Launch

Project Background

OpenAI is preparing to launch a new internal research analysis workflow that uses OpenAI Evals and a lightweight reporting surface in ChatGPT Enterprise to help researchers review model behavior faster. You are the program owner coordinating a 9-person cross-functional team across Research, Engineering, Product, Design, and Legal. Leadership wants the workflow piloted in 6 weeks so it can support an upcoming model iteration review.

Key Stakeholders

Research leads want deeper analysis fields and more flexibility in how findings are tagged. Engineering wants to keep scope tight to avoid destabilizing the existing eval pipeline. Legal wants a review of any researcher-entered notes that may contain sensitive customer data. The Product lead wants a polished pilot because it will be shown to senior leadership.

Constraints

• Timeline: 6 weeks to pilot launch
• Team: 4 engineers, 2 research analysts, 1 designer, 1 PM, 1 legal partner
• Budget: $85,000 for contractor QA and analytics support
• Dependency: a shared platform team can only provide 20 engineering hours in Week 3
• Non-negotiable: no delay to the existing weekly eval reporting cadence

Complications

1. In Week 2, the head of Research gives feedback that the current design is "too rigid" and asks for three additional annotation workflows.
2. In Week 3, Engineering reports that adding all requested feedback would likely push launch by at least 2 weeks.
3. In Week 4, Legal requests an approval gate for exported reports, which could add friction for researchers.

Your Task

Produce the following:

1. A launch plan that shows how you would collect, prioritize, and respond to stakeholder feedback.
2. A recommendation on what feedback to incorporate before pilot launch versus defer to a later phase.
3. A communication plan for aligning Research, Engineering, Product, and Legal on trade-offs.
4. A risk mitigation plan for timeline, scope creep, and adoption risk.
5. Clear pilot success criteria and a rollback or contingency approach if the workflow is not ready on time.