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

Senior
May 2026

Summary

Product sense round at Coinbase for a PM role. One question, pretty open-ended, and I spent way too long setting up context before actually getting to any real design thinking.

Questions Asked (1)

Q1

How would you redesign the Coinbase app to support 10x the number of cryptocurrencies it currently lists?

Product Sense & IdeationProduct StrategySystem Design
Author's notes

My first instinct was to jump into navigation and search UX, which in hindsight was way too narrow.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal of supporting 10x cryptocurrencies—whether it's for user acquisition, retention, or revenue—and then segment users to understand their needs. Propose a scalable information architecture with robust discovery, personalization, and risk management features, and prioritize solutions using a framework like RICE.

Pro tip: Emphasize that scaling to 10x assets is not just a UI challenge but requires a strategic shift in how Coinbase curates, ranks, and educates about assets to build trust and drive adoption.

1. Clarify Objectives and Constraints

Ask questions to understand the business goal (e.g., increase trading volume, attract new users) and constraints (regulatory, technical, team).

2. Segment Users and Use Cases

Identify key user segments (e.g., beginners, traders, institutions) and their needs when interacting with a large asset catalog.

3. Ideate Solutions for Discovery and Management

Brainstorm features like advanced search, personalized recommendations, watchlists, and educational content to help users navigate 10x assets.

4. Prioritize and Define MVP

Use a prioritization framework (e.g., RICE) to select high-impact, low-effort features for an MVP, considering dependencies and risks.

5. Define Success Metrics and Iterate

Propose metrics (e.g., asset discovery rate, trading volume per asset) and a plan to test, learn, and scale.

Key Points to Mention

  • Scalable information architecture: categorization, tagging, and dynamic filtering to manage a large asset list.
  • Personalization and discovery: machine learning-driven recommendations, trending assets, and curated lists to reduce choice overload.
  • Risk management and compliance: automated due diligence, clear risk disclosures, and regulatory adherence for new assets.
  • User education: in-app educational content and ratings to help users make informed decisions.
  • Technical scalability: backend systems for real-time data, performance, and security with 10x assets.
  • Metrics: define success metrics like asset adoption rate, user engagement, and trading volume to measure impact.

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