Product design question
How would you improve Coinbase?
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What this question tests
Tests prioritization of a concrete improvement for a crypto exchange app, requiring a specific user pain point tied to trust or usability.
How to approach it
- Clarify the user segment: crypto-curious beginners, or active traders, since Coinbase serves both with different needs.
- Identify a beginner-specific pain point: fear of making an irreversible mistake (wrong network, wrong amount) when sending crypto.
- Propose a concrete fix: a pre-send confirmation flow that checks for common errors, like an unsupported network or a typo'd address, with plain-language warnings.
- Prioritize this over trader-focused features like advanced charting, since transaction anxiety is the bigger blocker to broader adoption.
- Weigh the trade-off: added confirmation steps slow down power users, so make the extra checks skippable for verified frequent senders.
- Define success as reduced support tickets for failed or misdirected transactions and higher first-transaction completion rate.
What a strong answer includes
- Picks a specific, high-stakes pain point, irreversible transaction errors, rather than a generic more features answer.
- Ties the fix to trust, which is the core barrier to broader crypto adoption for beginners.
- Uses illustrative numbers as assumptions: assume 3% of first-time sends result in a support ticket due to network or address errors.
- Balances the fix against power-user friction by making it skippable for verified frequent senders.
Common mistakes
- Proposing generic UI polish with no tie to a real pain point.
- Ignoring that crypto transactions are irreversible, which makes error prevention uniquely high-stakes here.
- Not considering the trade-off between safety friction and speed for power users.
Likely follow-up questions
- How would you detect a likely wrong-network error before it happens?
- How do you balance this against power user speed?
- What metric would tell you this feature is working?
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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