← Google Interview Insights

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

Senior
Jun 2026

Summary

Google PM interview with a classic product design question. Nothing too surprising but it took me longer than expected to find an angle that didn't feel generic.

Questions Asked (1)

Q1

Design a product that encourages people to read more.

Product Sense & IdeationProduct StrategyProduct Analytics & Metrics
Author's notes

I started with user segmentation which felt right, but I spent way too long on it and rushed the actual solution.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the goal and target user segment, then propose a product concept that leverages Google's strengths in AI and existing platforms. Structure your answer around user needs, product features, and success metrics, emphasizing how the product creates habit formation and measurable reading engagement.

Pro tip: Anchor your solution in a specific user pain point and show how it fits into Google's ecosystem (e.g., Google Books, Assistant, or Discover) to demonstrate strategic thinking and platform synergy.

1. Clarify and Define

Ask clarifying questions to understand the scope: Is this for a specific age group, reading format (books, articles), or platform? Define what 'reading more' means (frequency, duration, diversity).

2. Identify User Needs and Pain Points

Choose a target user segment (e.g., busy professionals, students) and outline their barriers to reading, such as lack of time, motivation, or discovery.

3. Propose Product Concept

Describe a product that addresses these needs, leveraging Google's AI, personalization, and existing services. Highlight key features that encourage reading, such as personalized recommendations, gamification, or social reading.

4. Define Success Metrics

List metrics to measure success, including engagement (daily active readers, time spent reading), retention, and user satisfaction. Consider both leading and lagging indicators.

5. Prioritize and Roadmap

Discuss how you would prioritize features (e.g., using RICE or impact/effort) and outline a phased rollout, including potential risks and mitigation.

Key Points to Mention

  • Leveraging Google's AI and machine learning for personalized content recommendations
  • Integration with existing Google products like Google Books, Google News, or Assistant
  • Habit-forming mechanics such as streaks, goals, and rewards
  • Social features like book clubs or sharing highlights to increase engagement
  • Metrics: daily active users, session length, retention rate, and number of books/articles completed
  • Addressing different reading formats (e-books, audiobooks, articles) and accessibility

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