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

Intermediate
Jun 2026

Summary

Google PM interview with a product design question about building an app for an amusement park. Pretty open-ended, which sounds fun until you're actually in it.

Questions Asked (1)

Q1

Design a mobile app for an amusement park. Walk through your approach.

Product Sense & IdeationProduct StrategyRoadmap Prioritization
Author's notes

I jumped straight to features, which was a mistake.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal and constraints of the amusement park app, then segment users and identify their key pain points. Prioritize features based on impact and feasibility, and outline a phased roadmap with success metrics.

Pro tip: Anchor your design around the physical park experience—focus on reducing wait times and friction, not just digitizing existing processes. Show how your solution drives measurable business outcomes like increased per-capita spending or repeat visits.

1. Clarify Goals & Constraints

Ask questions to understand the park's objectives (e.g., increase revenue, improve guest satisfaction) and constraints (budget, timeline, existing infrastructure).

2. Define User Segments & Pain Points

Identify key user groups (e.g., families, thrill-seekers, tourists) and their main frustrations, such as long lines, navigation, and planning.

3. Brainstorm & Prioritize Features

Generate potential features (e.g., real-time wait times, mobile ordering, virtual queues) and prioritize using a framework like RICE or impact/effort.

4. Design MVP & Roadmap

Propose a phased rollout: start with high-impact, low-effort features (e.g., wait times, map) and iterate based on user feedback and metrics.

5. Define Success Metrics

Outline KPIs such as reduced average wait time, increased app engagement, higher food/merch sales, and improved guest satisfaction scores.

Key Points to Mention

  • Integration with existing park systems (ticketing, POS, ride sensors) for real-time data
  • Personalization based on user preferences and past behavior to enhance experience
  • Offline functionality and low-latency performance due to spotty park connectivity
  • Monetization opportunities like in-app purchases, premium features, or partnerships
  • Accessibility and inclusivity for diverse guests (language, disabilities)
  • Iterative testing and feedback loops with actual park visitors

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