Measure and Improve Listing Quality with Key Metrics

Q: Measure and Improve Listing Quality with Key Metrics

This question evaluates competency in product analytics, metric definition, experimentation, and the operationalization of measurement systems to quantify and improve listing quality in an online marketplace.

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Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

Question

Evaluating and Improving Listing Quality in an Online Marketplace

Scenario

You are a product/analytics lead at an online marketplace (e.g., Airbnb, Etsy) responsible for evaluating and improving the quality of individual listings shown to users across search, recommendations, and ads.

Task

Explain why measuring listing quality matters to the business. Define specific metrics to quantify listing quality (e.g., user engagement, conversion rate, content completeness, complaints). Then outline how you would operationalize these metrics and set up a continuous measurement and improvement program.

Questions

Why is it important for the business to measure listing quality?
Which specific metrics would you define to quantify listing quality?
How would you operationalize these metrics and establish a continuous measurement and improvement approach?

Hints

Tie outcomes to user experience and revenue.
Consider engagement, conversion funnels, search ranking, content health, trust/safety, and controlled experiments.
Address position bias, category/price differences, cold-start, and low-sample listings.