Strategy question
You can fund only two of these four child-safety initiatives this quarter: stronger model refusals, better abuse detection, new admin controls for API customers, or faster human-enforcement tooling. How would you prioritize across research, policy, engineering, and enforcement stakeholders when the threat landscape and product requirements are changing quickly?
- Anthropic
- Strategy
- Hard
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What this question tests
Tests prioritization under real resource constraints across research, policy, engineering, and enforcement stakeholders with competing views on urgency.
How to approach it
- Clarify the current biggest gap: content getting through, or violations not being acted on fast enough.
- Gather evidence from each stakeholder group, since research, policy, and enforcement will each see a different bottleneck.
- Score each of the four initiatives on risk reduced per unit of effort and how fast the threat landscape is shifting toward it.
- Pick two that are complementary rather than redundant, so the funded work reinforces itself.
- Communicate explicitly to the unfunded stakeholders why their initiative was deprioritized and when it would be revisited.
What a strong answer includes
- Points to a concrete evidence source per team, such as a spike in successful bypasses arguing for refusals over admin controls.
- Chooses two initiatives that compound, for example detection improvements are wasted without enforcement tooling to act on them.
- Names the tradeoff honestly, acknowledging which real risk stays unaddressed this quarter.
- Sets a clear revisit point for the deprioritized initiatives rather than treating them as permanently cut.
Common mistakes
- Picking initiatives to appease every stakeholder rather than the highest actual risk reduction.
- Funding two initiatives that don't reinforce each other, like detection with no enforcement capacity.
Likely follow-up questions
- How would you decide if the threat landscape shifts mid-quarter?
- What would you tell the team whose initiative didn't get funded?
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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