← Google Interview Insights

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

Senior
Jun 2026

Summary

Google PM interview with a product sense question about a pretty analog product. Short session, just the one question from what I can tell, but it required more structure than I expected going in.

Questions Asked (1)

Q1

What two new features would you add to a car garage?

Product Sense & IdeationAdaptability & Ambiguity
Author's notes

I blanked for a solid few seconds because I kept waiting for a tech product.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the ambiguous term 'car garage'—it could mean a residential garage, a commercial parking garage, or a repair shop—and state your assumption. Then, segment users and prioritize pain points before proposing two features that align with Google's strengths in AI, data, and ecosystem integration.

Pro tip: Frame each feature with a clear user problem, a measurable success metric, and a nod to Google's unique capabilities (e.g., AI, Maps, Assistant) to show product sense and strategic fit.

1. Clarify and Scope

Ask clarifying questions to define the type of garage, target users, and business goals. State your assumptions explicitly to show structured thinking.

2. Identify User Pain Points

Brainstorm the key frustrations for the primary users (e.g., finding parking, security, maintenance, space optimization). Prioritize based on frequency and severity.

3. Ideate Features

Generate a few feature ideas that address the top pain points, leveraging Google's strengths (AI, data, ecosystem). Select two that are high-impact and feasible.

4. Evaluate and Prioritize

For each feature, assess impact vs. effort, alignment with company strategy, and potential risks. Use a simple framework like RICE to justify your choices.

5. Define Success Metrics

Propose specific metrics (e.g., adoption rate, time saved, revenue increase) to measure each feature's success and show a results-oriented mindset.

Key Points to Mention

  • User segmentation (e.g., daily commuters, residents, garage operators) to tailor features
  • Leveraging Google's AI and machine learning for predictive parking availability or maintenance alerts
  • Integration with Google Maps and Assistant for seamless navigation and voice control
  • Monetization opportunities such as premium features or partnerships with local businesses
  • Privacy and security considerations, especially for camera-based or sensor-based features
  • Scalability and technical feasibility, including potential use of existing Google infrastructure

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