← Google Interview Insights

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

Senior
May 2026

Summary

Interviewed at Google, got hit with a classic product sense question and didn't have much else to go on.

Questions Asked (1)

Q1

What makes a great product?

Product Sense & IdeationProduct Strategy
Author's notes

Broad enough to go anywhere, which is kind of the problem.

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AI HintsAI Generated

Suggested Approach

Start by defining what 'great' means in the context of Google's mission and user-centric values, then outline a multi-dimensional framework that balances user value, business impact, and technical feasibility. Use concrete examples to illustrate each dimension and show how they interact to create a product that is loved and sustainable.

Pro tip: Emphasize that greatness is not just about features but about creating a habit-forming experience that solves a real problem elegantly, and tie it back to Google's scale and data advantages.

1. Define 'Great'

Clarify that a great product excels across user desirability, business viability, and technical feasibility, and aligns with a clear vision.

2. User-Centric Value

Explain that it solves a meaningful user problem, is intuitive, and delivers a delightful experience that fosters engagement and loyalty.

3. Business Impact

Discuss how it drives sustainable growth, revenue, or strategic advantage, and fits the company's mission and ecosystem.

4. Execution & Scalability

Highlight the importance of technical excellence, scalability, and iterative improvement based on data and feedback.

5. Measure & Iterate

Conclude that greatness is validated through metrics (e.g., retention, NPS) and continuous refinement to adapt to changing needs.

Key Points to Mention

  • User-centricity: solving a real problem with a seamless experience
  • Business viability: monetization, growth, and strategic alignment
  • Technical feasibility: scalability, reliability, and innovation
  • Measurable impact: metrics like retention, engagement, and NPS
  • Iterative improvement: learning from data and user feedback
  • Competitive differentiation: unique value proposition and moat

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