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Google·Software Engineer·Hiring Manager Screen·Intermediate

Intermediate
May 2026

Summary

Went through a strategy-style screen for a bizops role at Google and got hit with a product improvement question about Uber. Not what I expected from a non-PM role but apparently fair game.

Questions Asked (1)

Q1

How would you improve Uber?

Product Sense & IdeationProduct Strategy
Author's notes

I went straight to driver supply and pricing levers because that felt safe, but looking back I think I missed a chance to structure it better before jumping in.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal of the improvement—whether it's user growth, driver retention, operational efficiency, or a new revenue stream—and then pick one high-impact area to focus on. Structure your answer by identifying a specific user pain point, proposing a concrete solution, and explaining how you would measure success and trade-offs.

Pro tip: Show product sense by tying your improvement to Uber's core metrics (e.g., trips per user, driver utilization, ETA accuracy) and acknowledging potential risks like regulatory pushback or cannibalization of existing services.

1. Clarify the objective

Ask the interviewer if they want improvements for riders, drivers, or the business, and whether to focus on a specific market or global scale. This narrows the scope and shows you think strategically.

2. Identify a key pain point

Choose a well-known problem, such as long wait times, surge pricing frustration, driver churn, or safety concerns. Use data or user empathy to justify why this pain point matters.

3. Propose a concrete solution

Describe a specific feature or process change, like a new matching algorithm, a driver rewards program, or an in-app safety toolkit. Explain how it works and why it addresses the pain point.

4. Define success metrics

List 2-3 measurable outcomes, such as reduced ETA, increased driver retention, or higher rider satisfaction (CSAT). Mention how you would track them (e.g., A/B testing).

5. Discuss trade-offs and risks

Acknowledge potential downsides, like implementation cost, impact on other metrics, or regulatory hurdles. Show you can balance innovation with practicality.

Key Points to Mention

  • User segmentation: distinguish between riders and drivers, and consider different markets (e.g., urban vs. suburban).
  • Data-driven decision making: use metrics like ETA, cancellation rates, or driver earnings to prioritize improvements.
  • Technical feasibility: as a software engineer, mention scalable system design, real-time data processing, or machine learning models.
  • Competitive landscape: reference competitors like Lyft, Didi, or public transit alternatives to show awareness.
  • Regulatory and ethical considerations: address privacy, safety, and local regulations that could affect implementation.
  • Iterative approach: suggest starting with a pilot or MVP, then scaling based on feedback and metrics.

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