Strategy question
A high-demand partner app wants deep access to user context and enterprise data inside ChatGPT. It could unlock clear user value, but raises privacy, safety, and admin-control concerns. How would you decide whether to launch it, what launch requirements would you set, and how would you drive a cross-functional go/no-go decision?
- OpenAI
- Strategy
- Hard
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What this question tests
Whether you can run a structured go or no-go process on a high-value but high-risk partner launch, balancing user value against privacy and safety exposure.
How to approach it
- Frame the decision as a structured tradeoff, not binary: quantify the user value (what capability this unlocks) against the specific privacy, safety, and admin-control risks named.
- Set launch requirements as conditions rather than blockers where possible, for example scoped data access instead of full context, explicit user consent flows, and enterprise admin opt-in controls.
- Require a security and privacy review with named sign-off criteria before any go decision, not an informal check-in.
- Pilot with a limited, consenting user segment (or enterprise admin-approved pilot accounts) before general release, to validate real-world risk before full rollout.
- Drive the go or no-go decision through a defined cross-functional forum (privacy, security, legal, product) with clear decision rights, not consensus-by-default.
- Set post-launch guardrail metrics and a rollback trigger so the decision remains reversible if real-world risk exceeds the pre-launch estimate.
What a strong answer includes
- Reframes 'launch or not' as 'launch with what scope and controls', which is the realistic and more defensible framing for a high-value, high-risk feature.
- Names a concrete risk-reduction step, scoped data access plus admin opt-in, rather than an all-or-nothing access grant.
- Requires a piloted rollout before general release, showing you would not bet the whole launch on pre-launch analysis alone.
- Includes a rollback trigger, showing the decision is treated as reversible, not a one-way door.
Common mistakes
- Treating this as a simple yes or no decision instead of a scoped, conditional launch.
- No mention of a pilot phase before general release.
- No post-launch guardrail or rollback plan if real-world risk turns out higher than expected.
Likely follow-up questions
- Who has final decision rights if privacy, security, and the partner team disagree?
- What would make you shut this down after launch?
- How would you communicate the decision to the partner if you require scope reductions?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop