Product design question
Design social features for Coinbase.
- Coinbase
- Product design
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Product sense applied to a regulated, trust sensitive category where social features carry real risk.
How to approach it
- Clarify the goal: retention, education, or driving trading volume through social proof.
- Segment Coinbase users: crypto curious beginners versus active traders.
- Identify the tension: features like copy trading or chat drive engagement but can enable pump and dump behavior and scams.
- Prioritize a lower risk feature for beginners, like shareable watchlists or portfolio milestones.
- Propose shareable anonymized portfolio milestones, not real time balances, plus moderated educational discussion threads.
- Define success as weekly active social users without a rise in scam related support tickets.
What a strong answer includes
- Explicitly weighs regulatory and reputational risk before proposing anything.
- Chooses passive social proof over active chat, since chat is a common scam vector on crypto platforms.
- Gives an illustrative number, for example assuming 10 percent of active users would share a milestone if prompted.
- Builds in guardrails: no real dollar amounts shown publicly, no unsolicited DMs between users.
Common mistakes
- Proposing generic social features like likes and chat without addressing crypto specific scam risk.
- Ignoring that Coinbase is a regulated financial product, not a typical consumer app.
Likely follow-up questions
- How would you moderate scam links or pump and dump chatter at scale?
- Would you launch this to all users or a beta cohort first, and why?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop