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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 a theme park. Pretty open-ended, which sounds fun until you're actually sitting there trying to figure out where to start.

Questions Asked (1)

Q1

Design an app for a theme park. Walk through your product thinking.

Product Sense & IdeationProduct StrategyRoadmap Prioritization
Author's notes

I spent probably too long on user segmentation before even touching the problem.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal and scope of the app, then define user personas and their pain points. Prioritize features using a framework like RICE, and outline a phased roadmap with success metrics.

Pro tip: Anchor your design around solving a specific user pain point (e.g., wait times) and tie it to a measurable business outcome like increased guest spending or satisfaction.

1. Clarify Goal & Scope

Ask questions to understand the app's primary objective (e.g., enhance guest experience, increase revenue) and constraints (e.g., budget, timeline).

2. Define Users & Pain Points

Identify key user segments (e.g., families, thrill-seekers) and their top frustrations (e.g., long lines, navigation).

3. Brainstorm & Prioritize Features

Generate feature ideas addressing pain points, then prioritize using a framework like RICE (Reach, Impact, Confidence, Effort).

4. Design & Prototype

Sketch key user flows and create a low-fidelity prototype to visualize the core experience.

5. Roadmap & Metrics

Propose a phased rollout (MVP to future) and define success metrics (e.g., adoption rate, wait time reduction).

Key Points to Mention

  • User personas and their specific needs (e.g., families with young children, solo visitors).
  • Core features like real-time wait times, mobile ordering, and interactive maps.
  • Prioritization framework (e.g., RICE) to justify feature selection.
  • MVP definition and iterative roadmap.
  • Success metrics aligned with business goals (e.g., increased guest spending, reduced wait times).
  • Potential challenges like connectivity, privacy, and integration with existing systems.

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