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

Intermediate
Jun 2026

Summary

Interviewed for a PM role at Bolt and got a product sense question about Amazon's homepage. Pretty open-ended, which I wasn't fully prepared for.

Questions Asked (1)

Q1

How would you improve Amazon's homepage?

Product Sense & IdeationProduct StrategyRoadmap Prioritization
Author's notes

I went straight into listing features, which in hindsight was the wrong move.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal of the homepage and the metrics that define success, then segment users and identify pain points. Prioritize improvements using a framework like RICE, and propose a testable solution with clear success metrics.

Pro tip: Acknowledge that Amazon's homepage is a complex, personalized system with multiple stakeholders; focus on incremental, data-driven improvements rather than a complete redesign.

1. Clarify Objective & Metrics

Define what 'improve' means: is it increasing conversion, engagement, or customer satisfaction? Identify key metrics like CTR, conversion rate, or time to find product.

2. User Segmentation & Pain Points

Segment users (e.g., new vs. returning, Prime vs. non-Prime) and identify their unique needs and frustrations with the current homepage.

3. Generate & Prioritize Ideas

Brainstorm potential improvements (e.g., personalized recommendations, simplified navigation) and prioritize using a framework like RICE or impact/effort matrix.

4. Propose Solution & Test Plan

Detail the top-priority improvement, how it addresses user needs, and outline an A/B test with success metrics and guardrail metrics.

5. Measure & Iterate

Explain how you would measure impact, learn from results, and iterate or scale the solution based on data.

Key Points to Mention

  • Amazon's homepage is highly personalized and data-driven; changes must be tested rigorously.
  • Balance short-term conversion goals with long-term customer trust and satisfaction.
  • Consider technical feasibility and potential impact on other teams (e.g., search, recommendations).
  • Use A/B testing to validate improvements and avoid negative unintended consequences.
  • Prioritize improvements that align with Amazon's flywheel: lower prices, wider selection, faster delivery.
  • Leverage existing user behavior data to inform hypotheses and personalization.

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