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

Senior
May 2026

Summary

Google PM interview with a product sense question that sounds open-ended but actually wants you to go pretty deep on metrics and prioritization. One question, but it had a lot of layers.

Questions Asked (1)

Q1

Pick a product you think has untapped potential. Propose three new features for it, and explain how you'd measure whether each one is actually working.

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

I went in thinking the hard part was picking a clever product, but the measurement piece is where I got pressed.

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AI HintsAI Generated

Suggested Approach

Choose a well-known product you genuinely use and understand deeply, then frame each feature around a clear user problem and business opportunity. For each feature, define a primary success metric tied to user behavior, plus guardrail metrics, and outline a concrete experiment (e.g., A/B test) to validate impact.

Pro tip: Anchor every feature in a specific user pain point and connect it to a company-level goal (e.g., engagement, monetization) to show strategic thinking. When discussing measurement, mention both quantitative metrics and qualitative signals, and acknowledge potential trade-offs or risks.

1. Select a product and justify its untapped potential

Pick a product you know well (e.g., Google Maps) and briefly explain why it has untapped potential—e.g., underutilized user segments, emerging user needs, or new technology enablers.

2. Identify a core user problem and propose a feature

For each of the three features, start by articulating a specific user pain point or unmet need, then describe the feature and how it solves that problem.

3. Define success metrics for each feature

For each feature, specify a primary success metric (e.g., adoption rate, engagement frequency) and 1-2 guardrail metrics (e.g., retention, satisfaction) to ensure no negative side effects.

4. Design an experiment to measure impact

Outline a concrete A/B test or phased rollout: define the hypothesis, control/treatment groups, sample size considerations, and duration. Mention how you'd handle confounding factors.

5. Prioritize and summarize

Briefly prioritize the features based on impact and effort, and summarize how you'd iterate based on results. Tie back to overall product strategy.

Key Points to Mention

  • Clear problem-solution fit for each feature, grounded in user research or data
  • Primary metric tied to feature goal (e.g., DAU, conversion) and guardrail metrics (e.g., churn, NPS)
  • Specific experiment design: hypothesis, control/treatment, success criteria, and statistical significance
  • Consideration of potential risks, trade-offs, and unintended consequences
  • Alignment with company objectives (e.g., Google's mission, revenue goals)
  • Iterative approach: how you'd learn from results and refine the feature

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