Product design question
How would you design a product on Coinbase that helps first-time crypto users understand risk and make informed investment decisions?
- Coinbase
- Product design
- Medium
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What this question tests
Product design balancing education, trust and regulatory responsibility for a high risk financial product aimed at novices.
How to approach it
- Define the user: someone with little crypto experience, at real risk of an uninformed, emotionally driven decision.
- Identify the core tension: Coinbase wants trading volume, but a genuinely protective product must sometimes slow the user down before a risky trade.
- Propose risk tiered onboarding that gates access to highly volatile assets behind a short, plain language risk explainer for that asset.
- Propose in context nudges before a large or first time volatile purchase, showing a simple risk summary rather than a generic disclaimer.
- Define success: reduction in rapid buy sell reversals among new users, alongside standard funnel metrics.
What a strong answer includes
- Names the real tension between trading volume incentive and protecting novice users, instead of ignoring it.
- Proposes asset specific, plain language risk framing rather than a generic legal disclaimer nobody reads.
- Uses a regret trading proxy metric as a meaningful signal of whether the feature actually helped.
Common mistakes
- Designing only a generic educational content hub users can easily skip without addressing point of decision risk.
- Ignoring the real business tension between protecting users and Coinbase's trading volume incentive.
Likely follow-up questions
- How would you balance this against regulatory requirements Coinbase already has to meet?
- How would you know if the nudges are actually preventing bad decisions versus just adding friction?
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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