← Google Interview Insights

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

IntermediatePrefer not to say
Jun 2026

Summary

Went through a product sense round at Google and got hit with a question about a product I genuinely dislike. Shorter interview than I expected but it made me think.

Questions Asked (1)

Q1

What is your least favorite product and why?

Product Sense & IdeationProduct Strategy
Author's notes

I blanked for a second because I'd only ever prepped for 'favorite product' questions.

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AI HintsAI Generated

Suggested Approach

Choose a well-known product that you genuinely find frustrating, but avoid trashing the company or team. Instead, focus on specific user experience issues and frame your critique as an opportunity for improvement, showing how you would approach solving them as a PM.

Pro tip: Show empathy for the constraints the product team might have faced (e.g., technical debt, business goals) while still critiquing the user experience. This demonstrates maturity and strategic thinking.

1. Select a product

Pick a product that is widely known and has clear, non-controversial flaws. Avoid products that are politically sensitive or could reflect poorly on you.

2. Describe the product and its purpose

Briefly explain what the product is and what it aims to achieve, showing you understand its context and target users.

3. Identify specific pain points

Focus on 1-2 concrete user experience issues, such as poor onboarding, confusing navigation, or lack of key features. Explain why these are problematic for users.

4. Analyze root causes

Speculate on why these issues exist, considering factors like business model, technical constraints, or prioritization. This shows strategic thinking.

5. Propose improvements

Suggest how you would address the issues as a PM, outlining potential solutions and their impact. This demonstrates product sense and creativity.

Key Points to Mention

  • User empathy: how the product fails to meet user needs
  • Business model or strategic constraints that might explain the flaws
  • Specific, actionable improvements with expected outcomes
  • Metrics to measure success of improvements
  • Trade-offs involved in making changes
  • Learning mindset: what you would do differently as a PM

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