Project Background

OpenAI's Research Analytics team is supporting three concurrent, high-visibility efforts over the next 8 weeks: a ChatGPT feature launch analysis, a model evaluation dashboard refresh for internal researchers, and an executive readout on API enterprise adoption. You are the Research Analyst assigned across all three projects, working with a shared team of 6 people including 2 data scientists, 2 analytics engineers, 1 TPM, and 1 data engineer.

The work is urgent because the ChatGPT launch date is already on the roadmap, the dashboard refresh is blocking weekly research reviews, and the enterprise adoption readout is needed for the next operating review. Leadership wants a clear prioritization approach rather than parallel partial progress on everything.

Key Stakeholders

Your stakeholders include the Research lead, the ChatGPT product manager, the GTM finance partner, and the Analytics Engineering manager. Their priorities conflict: the product manager wants fast launch support, the Research lead wants high-confidence metrics and clean definitions, and finance wants the enterprise readout delivered on the original date.

Constraints

• 8-week timeline with one analyst shared across all projects
• $40K budget for external labeling and contractor support
• Analytics engineering capacity limited to 20 hours/week
• One critical event dependency: the ChatGPT feature experiment ends in Week 4
• Data quality issues in the enterprise CRM pipeline may take up to 2 weeks to resolve

Complications

1. The ChatGPT PM asks for daily ad hoc analyses that were not in the original scope.
2. One analytics engineer is pulled into a P1 production issue for up to 10 business days.
3. The Research lead may reject the dashboard refresh if metric definitions are not standardized.

Your Task

1. Build a prioritization framework across the three projects.
2. Propose an 8-week execution plan with milestones and trade-offs.
3. Define what you would de-scope, delay, or delegate if capacity drops further.
4. Identify the top risks and mitigation plan.
5. Specify success metrics and stakeholder communication cadence.