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Uber·Product Manager·Onsite - Product Sense / Strategy·Senior

SeniorPrefer not to say
Jun 2026

Summary

Uber product interview, one question about improving their own app. Pretty open-ended which sounds fun until you realize you have to scope it yourself and also explain how you'd build and ship the thing.

Questions Asked (1)

Q1

What improvements would you make to the Uber app, and how would you design, implement, and test your chosen idea?

Product Sense & IdeationA/B Testing & ExperimentationProduct Strategy
Author's notes

The tricky part isn't picking an improvement, it's that they're asking you to go all the way through design, implementation, and testing in one shot.

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AI HintsAI Generated

Suggested Approach

Choose a specific, high-impact user problem that aligns with Uber's core strengths (e.g., improving driver-rider matching, reducing wait times, or enhancing safety). Structure your answer by first defining the problem and user segment, then proposing a solution, and finally outlining a design, implementation, and testing plan with clear metrics. Emphasize how your idea drives business value (e.g., increased retention, revenue) and leverages Uber's data and scale.

Pro tip: Anchor your improvement in a real user pain point and quantify the opportunity (e.g., 'X% of riders abandon due to Y'), then propose a testable hypothesis with a clear success metric. Show you understand Uber's two-sided marketplace and how your idea affects both riders and drivers.

1. Identify a High-Impact Problem

Select a specific user segment (e.g., frequent riders, drivers) and a pain point that is frequent, severe, and aligned with Uber's strategic goals. Use data or reasonable assumptions to size the opportunity.

2. Propose a Solution

Describe your improvement concisely, focusing on the user experience and how it solves the problem. Explain how it leverages Uber's existing assets (e.g., data, network) and benefits both sides of the marketplace.

3. Design and Implementation Plan

Outline key design considerations (e.g., UI changes, backend logic) and a phased implementation approach. Mention cross-functional collaboration (engineering, design, data science) and potential challenges.

4. Testing and Metrics

Define a clear hypothesis and success metrics (e.g., conversion rate, wait time, retention). Propose an A/B test design, including control/treatment groups, sample size, and duration. Discuss how you would measure impact on both riders and drivers.

5. Iterate and Scale

Explain how you would analyze results, iterate based on learnings, and decide whether to scale, pivot, or kill the feature. Consider long-term implications and potential risks.

Key Points to Mention

  • User-centric problem definition with clear pain point and target segment
  • Alignment with Uber's business model and strategic priorities (e.g., growth, efficiency, safety)
  • Two-sided marketplace impact: how the improvement affects both riders and drivers
  • Specific, measurable success metrics (e.g., conversion, wait time, retention, NPS)
  • A/B testing methodology: hypothesis, control/treatment, sample size, statistical significance
  • Cross-functional collaboration and phased rollout plan

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.