Metrics question

How do you measure the success of the Hot Home feature in Redfin?

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What this question tests

Ability to build a metric tree for a real estate discovery feature and separate top-of-funnel signals from bottom-of-funnel outcomes.

How to approach it

  1. Clarify what Hot Home flags, likely listings predicted to sell fast or draw many offers, and who sees it.
  2. State the goal: help buyers act faster on competitive listings, driving more tours and offers through Redfin.
  3. Build a metric tree: exposure (views of flagged homes), engagement (tour requests and saves versus unflagged listings), and outcome (offer rate, time to offer).
  4. Add a guardrail: prediction accuracy, the share of flagged homes that actually sold within the predicted window.
  5. Compare conversion rate on flagged versus unflagged listings to isolate the feature's lift.
  6. Segment by market, since "hot" varies a lot between a market like San Francisco and a slower metro.

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