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

Senior
May 2026

Summary

Uber PM interview with a product strategy question about ads on the homepage. Pretty open-ended, which I wasn't fully prepared for.

Questions Asked (1)

Q1

We're thinking about adding a new ad placement on the app's homepage. Should we do it?

Pricing & MonetizationProduct StrategyProduct Analytics & Metrics
Author's notes

Spent too long on the revenue upside and not enough on user experience tradeoffs.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal of the new ad placement and the constraints (e.g., user experience, revenue targets). Then propose a structured evaluation framework that weighs revenue potential against user impact, and suggest a test-and-learn approach to validate assumptions before full rollout.

Pro tip: Frame your answer around Uber's unique marketplace dynamics—ads on the homepage could disrupt rider/driver matching or cannibalize higher-margin businesses like Uber Eats. Show you understand that not all revenue is equal and that user trust is paramount.

1. Clarify Objectives & Constraints

Ask clarifying questions to understand the primary goal (e.g., incremental revenue, advertiser demand) and any constraints (e.g., brand guidelines, user experience principles).

2. Assess User Impact & Opportunity Cost

Evaluate how the ad placement might affect key user metrics (e.g., conversion, retention, satisfaction) and whether it could cannibalize other revenue streams or degrade the core experience.

3. Estimate Revenue Potential & Costs

Size the potential revenue uplift based on impressions, CPMs, and fill rates, and weigh it against implementation and maintenance costs, including any impact on engineering resources.

4. Design a Test & Learn Plan

Propose a controlled experiment (e.g., A/B test) with clear success metrics (e.g., revenue per user, retention, NPS) to measure the true impact before scaling.

5. Make a Recommendation with Guardrails

Based on the analysis, recommend a path forward (e.g., proceed with test, iterate, or reject) and define guardrail metrics to monitor post-launch.

Key Points to Mention

  • User experience and trust: Ads should not disrupt the core ride-hailing or delivery experience.
  • Incremental revenue vs. cannibalization: Consider if ads might reduce usage of higher-margin services.
  • Marketplace dynamics: Uber's two-sided marketplace means ads could affect driver and rider behavior.
  • Data-driven decision making: Use A/B testing and metrics like CTR, conversion, retention, and LTV.
  • Advertiser demand and sales strategy: Ensure there is demand and alignment with Uber's ad platform.
  • Long-term brand impact: Avoid short-term revenue gains that could harm Uber's brand equity.

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