Metrics question

Imagine you're the product manager for Facebook Marketplace. Since many sellers don't mark items as sold, what existing functionality and metrics could you use to determine whether an item has likely sold?

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What this question tests

Ability to infer signals from indirect data when the direct answer (an item sold) is not explicitly tracked.

How to approach it

  1. State the problem clearly: sellers often do not mark items sold, so the true active inventory is unknown.
  2. Identify indirect signals: the listing is removed by the seller, the seller stops responding to messages, or repeated buyer reports say it is unavailable.
  3. Use behavioral signals: a sharp drop in views or messages after a period of high interest can suggest the item left the market.
  4. Propose a model combining these signals, for example seller inactivity plus buyer 'still available' report rate, to score likely sold status.
  5. Validate the model against a small sample of manually confirmed sold or unsold items to check accuracy.
  6. Define success as the model's precision at flagging sold items and reduction in buyer complaints about unavailable listings.

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