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

Senior
May 2026

Summary

Had a product sense round at Meta for a PM role, one question about adding parking features to Google Maps. Pretty straightforward setup but the question itself has a lot of surface area if you let it.

Questions Asked (1)

Q1

How would you design parking features on Google Maps?

Product Sense & IdeationProduct StrategySystem Design
Author's notes

I started by trying to clarify who we're actually building for, commuters vs occasional drivers vs people in unfamiliar cities, because the answer changes a lot depending on that.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal and scope of parking features on Google Maps, then segment users and identify their pain points. Prioritize features based on impact and feasibility, and outline a high-level design including data sources, user flow, and success metrics.

Pro tip: Emphasize the importance of real-time data and partnerships with parking providers to ensure accuracy and availability. Also, consider monetization opportunities and integration with existing Google Maps features like navigation and reservations.

1. Clarify Goals and Scope

Ask clarifying questions to understand the objective: Is this for drivers, businesses, or both? What platforms? What are the key success metrics? Define the problem space.

2. User Segmentation and Pain Points

Identify different user segments (e.g., daily commuters, tourists, event-goers) and their specific parking challenges. Understand their needs and current behaviors.

3. Feature Ideation and Prioritization

Brainstorm potential features (e.g., real-time availability, price comparison, reservation, navigation to spot). Prioritize using a framework like RICE or impact/effort matrix.

4. High-Level Design and Data Strategy

Outline how the feature would work: data sources (partnerships, user reports, sensors), user flow, integration with Google Maps, and technical considerations.

5. Success Metrics and Rollout Plan

Define metrics to measure success (e.g., usage, time saved, revenue). Suggest a phased rollout and potential A/B tests.

Key Points to Mention

  • Real-time parking availability and prediction
  • Integration with navigation and payment systems
  • Partnerships with parking providers and cities
  • User-generated data and crowdsourcing
  • Monetization through reservations or ads
  • Privacy and data accuracy concerns

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