Metrics question
How would you set the goal for FB's Crisis Response feature?
- Meta
- Metrics
- Hard
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What this question tests
Setting appropriate goals for a safety-critical, trust-sensitive feature rather than a pure growth feature.
How to approach it
- Clarify the feature's mission: helping people mark themselves safe and find accurate, timely information during a crisis, not engagement maximization.
- Define the primary goal: speed and coverage, i.e., how quickly and completely affected users can mark safe and access verified resources.
- Define supporting metrics: percent of affected users reached by a crisis prompt, and time from crisis onset to prompt delivery.
- Set a guardrail: accuracy of crisis detection and geofencing, since a false trigger causes real anxiety and erodes trust.
- Avoid using engagement time as a success metric, since more time spent in a crisis tool likely reflects distress, not product value.
- Define a secondary goal: information quality, like linking to verified official sources rather than unverified user posts.
What a strong answer includes
- Explicitly rejects engagement time as a success metric, showing sensitivity to the feature's emotional and safety context.
- Names speed and coverage as the primary goal, appropriate for a time-critical safety tool.
- Gives an illustrative benchmark, e.g. 90% of affected users receiving a prompt within 30 minutes of crisis onset, marked as an assumption.
- Flags false-positive geofencing as a real risk, since incorrectly telling someone they're in a crisis zone damages trust.
Common mistakes
- Treating this like a normal growth feature and optimizing for engagement or session time.
- Ignoring detection accuracy as a guardrail, which is critical for a safety feature.
Likely follow-up questions
- How would you balance speed of alerting against risk of false positives?
- How would you measure whether the information shown is actually trustworthy?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop