Product design question
How would you improve Google Pay?
- Product design
- Easy
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What this question tests
Tests product sense on a payments app competing against strong incumbents, where trust and utility beat flashy new features.
How to approach it
- Segment users: peer-to-peer payment users, bill-pay/utility users, and in-store/online checkout users, since needs differ.
- Identify a pain point: bill splitting and recurring payments are clunky compared to a dedicated tool, and cross-border remittance is underused despite Google's global reach.
- Prioritize one improvement: streamlined recurring bill management with proactive reminders and one-tap pay, since this is a high-frequency, high-retention use case.
- Consider global expansion as a strategic lever: better cross-border transfer rates, leveraging Google's international presence versus PayPal or local apps.
- Define success: growth in recurring/repeat transaction frequency per user, not just total transaction volume, since repeat usage signals real habit formation.
What a strong answer includes
- Targets recurring/bill-pay use cases specifically, a high-frequency habit loop that drives retention better than one-off payments.
- Considers Google Pay's competitive position against PayPal, Venmo, and regional apps, rather than proposing features in a vacuum.
- Uses an illustrative number, e.g. assume only 10% of users have set up a recurring payment, showing room to grow habit-forming usage.
- Picks repeat-usage frequency as the success metric, since that's what indicates the feature actually built a habit.
Common mistakes
- Proposing generic UI polish without identifying a specific, high-frequency use case to improve.
- Ignoring the competitive landscape (PayPal, Venmo, Zelle) that Google Pay has to differentiate against.
Likely follow-up questions
- How would you compete specifically against Zelle for bank-to-bank transfers?
- How would you monetize Google Pay without adding friction that hurts adoption?
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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