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

SeniorPrefer not to say
Apr 2026

Summary

Google product design interview, one question about designing a smart closet. Pretty open-ended, which I was not expecting from a company that usually has more structure.

Questions Asked (1)

Q1

Design a smart closet.

Product Sense & IdeationProduct StrategySystem Design
Author's notes

I went straight to features and the interviewer just stared at me.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal and scope of the smart closet (e.g., consumer product vs. enterprise, target user, key problems). Then structure your answer around user needs, product features, and business viability, while highlighting technical feasibility and potential challenges. Conclude with success metrics and a phased rollout plan.

Pro tip: Anchor your design in a specific user persona and their pain points to demonstrate user-centric thinking, and proactively discuss trade-offs (e.g., cost vs. convenience, privacy vs. personalization) to show product maturity.

1. Clarify Goals and Scope

Ask clarifying questions to define the product's purpose, target users, and constraints (e.g., B2C or B2B, budget, timeline). This ensures alignment and prevents solving the wrong problem.

2. Identify User Needs and Pain Points

Choose a primary persona and outline their needs, such as outfit planning, inventory management, or sustainability. Prioritize the most impactful problems to solve.

3. Brainstorm Features and Solutions

Propose a range of features (e.g., RFID tracking, AI recommendations, virtual try-on) and map them to user needs. Consider hardware and software integration, and prioritize features based on impact and feasibility.

4. Address Technical Feasibility and Challenges

Discuss key technologies (IoT, computer vision, machine learning) and potential hurdles like data privacy, cost, and scalability. Show awareness of trade-offs and mitigation strategies.

5. Define Success Metrics and Rollout

Outline metrics (e.g., engagement, retention, time saved) and a phased go-to-market plan (e.g., MVP, pilot, launch). Consider monetization and competitive differentiation.

Key Points to Mention

  • User personas and pain points (e.g., busy professionals, fashion enthusiasts)
  • Core features: inventory tracking, outfit recommendations, virtual try-on, sustainability insights
  • Technology enablers: RFID, computer vision, AI/ML, IoT connectivity
  • Privacy and security considerations for personal data
  • Business model and monetization (e.g., hardware sales, subscription, partnerships)
  • Success metrics (e.g., daily active users, items worn per month, reduction in clothing waste)

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