Design metrics and A/B test for maps and ETA

Q: How do I approach Analytics & Experimentation interview questions?

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

Q: What difficulty level is this interview question?

This is a easy difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at Uber.

Q: What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Uber during technical interviews.

Question

Design metrics and A/B test for maps and ETA

PracHub · Accepted Answer

This question evaluates proficiency in metrics design, causal inference, and experimentation for product and marketplace features, specifically testing definition of behavioral versus stated preference, selection of primary/diagnostic/guardrail metrics, and identification of bias and confounding; it falls under the Analytics & Experimentation domain for Data Science roles. It is commonly asked because interviewers need assurance that the candidate can reason about marketplace dynamics, interference and seasonality, and plan practical experiment elements such as unit of randomization, diagnostics, monitoring and ramp/stop criteria, therefore testing both conceptual understanding (biases, preference concepts) and practical application (metric selection and experiment design).

Design metrics and A/B test for maps and ETA

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Design metrics and A/B test for maps and ETA

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