Investigate Causes of Cold Meal Deliveries

Q: Investigate Causes of Cold Meal Deliveries

This question evaluates a candidate's competency in data-driven root-cause analysis, causal inference, experiment design, instrumentation, and metric definition for diagnosing operational product-quality issues.

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Question

Investigate and Reduce Cold Food Deliveries

Context

You are a Data Scientist at a large food-delivery marketplace. Customer complaints about meals arriving cold have increased. You need to diagnose root causes and propose data-driven fixes.

Task

Outline how you would investigate and solve this problem. Specifically cover:

Data you would need (from customer, courier, merchant, and platform systems).
Key metrics and success criteria.
Analyses to identify root causes and quantify impact.
Experiments you would run (design, metrics, guardrails).
Operational and product changes you would recommend.

Assume you can add minimal instrumentation if needed (e.g., new timestamps or merchant attributes). Be explicit about assumptions where data may be missing.

Investigate Causes of Cold Meal Deliveries

Investigate and Reduce Cold Food Deliveries

Context

Task

Solution

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