Design and Test a New Feature

Q: Design and Test a New Feature

This question evaluates a candidate's ability to design a new product feature for a ride-hailing platform and to translate product goals into measurable outcomes, testing competencies in product sense, metric definition, experiment and causal-inference design, segmentation, and two-sided marketplace trade-off analysis.

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.

Question

You are interviewing for a Data Scientist internship at Uber. Assume the Uber rider app already includes standard functionality such as booking a ride, ETA and fare estimates, trip sharing, ride scheduling, and basic safety tools. Propose one genuinely new feature that could improve rider experience and/or marketplace efficiency.

In your answer, explain:

the target user and pain point
why the feature matters for Uber's business
the primary success metric, supporting metrics, and guardrail metrics
important tradeoffs, such as rider conversion vs. driver utilization or short-term engagement vs. long-term retention
how you would test the feature, including experiment unit, randomization strategy, duration, sample-size or MDE considerations, and how you would handle spillovers in a two-sided marketplace
what segments you would examine for heterogeneous effects
how you would distinguish true product impact from novelty effects, seasonality, and supply-demand shocks

Design and Test a New Feature

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