Behavioral question
Researchers believe a new multimodal capability is safe enough to launch because internal evals look strong, while policy and trust teams believe the downstream misuse risk is still too high. How would you drive a decision across those disagreeing groups, and what evidence and escalation process would you use to reach a launch recommendation?
- OpenAI
- Behavioral
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Cross-functional conflict resolution and decision-driving skill when technical evidence and qualitative risk judgment genuinely disagree.
How to approach it
- Situation: describe a real or realistic case where research's internal evals showed strong results while policy and trust flagged downstream misuse concerns evals do not capture well.
- Task: state the role of driving the group to an actual decision rather than letting the disagreement stall indefinitely.
- Action: bring both sides' evidence into a shared framework, explicitly naming what the evals measure well, like capability, and what they miss, like real-world misuse patterns.
- Action: propose gathering additional targeted evidence, like a narrow, monitored limited release, to test the specific misuse concern rather than resolving the disagreement through internal debate alone.
- Result: describe reaching a recommendation, ideally a staged or conditional launch, and the escalation process used, like a defined decision-making body, if disagreement persisted.
- Reflection: what this taught about combining quantitative evals with qualitative risk judgment in future launch decisions.
What a strong answer includes
- Names the specific limitation of internal evals directly, that they measure capability well but not necessarily real-world misuse, showing genuine understanding of why the two sides disagreed.
- Proposes a concrete resolution mechanism, a narrow monitored release to generate real evidence, rather than just picking a side based on authority or persuasion.
- Describes an actual escalation process or decision body used when disagreement persists, showing this was handled systematically, not through personal willpower.
- Reflects with a genuine lesson about combining eval data and qualitative safety judgment, not a generic statement about the importance of collaboration.
Common mistakes
- Describing simply overriding one side's concerns based on authority or urgency, without addressing the substance of the disagreement.
- Vague conflict resolution with no concrete mechanism, evidence-gathering step, or escalation process described.
Likely follow-up questions
- What would you have done if the limited release also showed ambiguous results?
- How do you decide when policy's qualitative concern should override a strong quantitative eval result?
More behavioral questions
- Tell me about a time you launched a product under intense competitive pressure.OpenAI · Behavioral · Medium
- Tell me about a time you had to create alignment in an ambiguous, highly technical product area where engineering, researchers, and customers wanted different things. How did you frame the decision, resolve disagreement, and drive the team to a concrete outcome?OpenAI · Behavioral · Medium
- Product teams repeatedly ask for bespoke launch checks and measurement support. Without direct authority, how would you align engineering, data, research, and infrastructure leaders around a reusable platform feature instead of one-off work? Walk through the operating model and escalation path you would use.OpenAI · Behavioral · Hard
- Tell me about a time you had to align research, engineering, and policy stakeholders on a decision when the evidence was incomplete and incentives conflicted. What made alignment hard, what tradeoffs did you make explicit, and how did you get the group to a clear next step?OpenAI · Behavioral · Hard
- Tell me about a product area you led in a high-trust domain such as security, privacy, billing, or infrastructure. What was the hardest cross-functional disagreement, how did you make the tradeoff under risk, and what evidence told you the system was reliable enough to launch?OpenAI · Behavioral · Hard
- Tell me about a time you led a product initiative involving billing, payments, finance systems, or accounting workflows where key stakeholders had conflicting goals. What was the decision you had to make, how did you align the teams, and what tradeoff did you choose that materially affected scope, timeline, or risk?OpenAI · Behavioral · Medium
More questions from OpenAI
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 13: Lead the room: staff moves, forward-deployed PM, and the portfolio
- Chapter 14: Get the job: the AI PM interview loop