Strategy question
A new Claude Code model is directionally better, but researchers and product engineers disagree on launch readiness and the evidence is mixed. As the launch owner, how would you run the decision process: define exit criteria, manage disagreement, choose between full launch, limited rollout, or delay, and communicate the tradeoffs?
- Anthropic
- Strategy
- Hard
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What this question tests
Tests decision process design for a launch under genuine team disagreement and mixed evidence, including how to run the decision, not just what to decide.
How to approach it
- Define exit criteria before reviewing evidence again, such as a minimum bar on both benchmark scores and dogfooder satisfaction that must both hold.
- Separate the disagreement into factual and judgment components, since researchers and engineers may agree on the data but weigh risk differently.
- Bring both groups into one room to review the same evidence together, since disagreement often persists because each side saw different data slices.
- Choose among full launch, limited rollout, or delay based on evidence strength, defaulting to limited rollout when evidence is genuinely mixed.
- Communicate the decision and tradeoffs explicitly, including what would need to be true to revisit it.
What a strong answer includes
- Sets exit criteria before the final evidence review, preventing the criteria from being quietly adjusted to fit whichever conclusion feels right.
- Separates factual disagreement from risk tolerance disagreement, which often resolves conflicts that look unresolvable on the surface.
- Defaults to limited rollout as the sensible middle path when evidence is genuinely mixed, rather than forcing a binary launch or delay choice.
- Closes the loop by naming what new evidence would change the decision, keeping the door open without leaving it perpetually undecided.
Common mistakes
- Picking a side in the disagreement without first checking whether it is a factual dispute or a risk tolerance dispute.
- Making the launch call without pre-committing to exit criteria, inviting the criteria to be rationalized after the fact.
Likely follow-up questions
- How would you decide between limited rollout and delay if evidence stayed mixed?
- What would you say to a researcher who still disagreed with your final call?
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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