Product design question

Develop a seller score algorithm for Walmart Marketplace.

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What this question tests

Tests designing a scoring system from a PM lens: picking input signals, weighting logic, and gaming guardrails, not writing the model itself.

How to approach it

  1. State the goal: help buyers trust sellers and help Walmart promote, flag, or remove sellers appropriately.
  2. List inputs: on-time shipping rate, defect/return rate, review rating, message response time, and policy violation history.
  3. Weight by risk: defects and violations weighted heaviest since they harm buyer trust and Walmart's liability; responsiveness weighted lightly.
  4. Weight recency over history: score last 90 days more heavily, and require a minimum order volume before a score is trusted.
  5. Guard against gaming: sellers could inflate reviews or cherry-pick orders, so add anomaly detection and audits for suspiciously perfect scores.
  6. Define use and success: tiered outcomes (search boost, warnings, suspension), validated against actual buyer satisfaction over time.

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