Metrics question
Identify one metric for Facebook Marketplace that the whole team should monitor daily.
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Tests whether you can pick one operational, daily-checkable metric instead of listing a metric tree when the question asks for exactly one.
How to approach it
- Clarify the team's current stage: growth (adoption) versus trust (fraud) versus liquidity (supply-demand match), since the right daily metric depends on it.
- Rule out lagging metrics like GMV or revenue since they move too slowly and noisily to check daily.
- Propose successful listing-to-transaction rate, the share of new listings that get a buyer message or sale within 7 days, as the one metric.
- Explain why it's actionable daily: a sharp drop signals a supply quality issue, a buyer trust issue, or a search/ranking bug the team can act on same-day.
- Note the guardrail: pair it with a scam/report rate so the team doesn't chase transaction volume by ignoring fraud.
What a strong answer includes
- Picks a leading indicator over a lagging one (transaction rate over GMV) because the question explicitly asks for a daily-monitor metric.
- Explains the causal story: this metric moving down points directly to specific fixable problems, which is why the whole team, not just growth, should watch it.
- Gives an illustrative baseline, e.g. assume 8% of listings transact within a week, so day-over-day swings of a point or two are meaningful.
- Notes Marketplace spans multiple companies (Meta, Walmart, PayPal use cases), so frames the metric generically as any two-sided marketplace's core health signal.
Common mistakes
- Naming multiple metrics when the question explicitly asks for one, which signals you didn't listen to the constraint.
- Picking a vanity metric like daily active users instead of one tied to marketplace liquidity.
Likely follow-up questions
- What would you do if this metric dropped 20% overnight?
- How is this different from the metric a growth team versus a trust and safety team would prioritize?
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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