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Design and Test a New Feature

Last updated: Mar 29, 2026

Quick Overview

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.

  • easy
  • Uber
  • Analytics & Experimentation
  • Data Scientist

Design and Test a New Feature

Company: Uber

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: easy

Interview Round: Onsite

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

Quick Answer: 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.

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Uber logo
Uber
Feb 12, 2026, 12:00 AM
Data Scientist
Onsite
Analytics & Experimentation
14
0

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

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