Product design question
How would you improve Google Pay for busy people?
- Product design
- Easy
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What this question tests
Tests product design for a specific, well-defined persona: can you translate 'busy people' into concrete friction-reduction features rather than generic payment improvements.
How to approach it
- Define the persona concretely: someone making frequent, small, recurring payments (transit, coffee, bill splits) who has no time or patience for multi-step flows.
- Identify the core pain point: too many taps or confirmations for routine, low-risk payments, and friction in recurring or split payments among groups.
- Prioritize speed: a one-tap or tap-and-go default for trusted, low-value, recurring payees (like a regular coffee shop or transit), reducing confirmation steps for low-risk transactions specifically.
- Prioritize automation: auto-pay setup for recurring bills directly from the home screen, with smart reminders instead of manual entry each time.
- Address group scenarios: a fast bill-split flow that pulls in contacts and calculates shares automatically, since busy people often split costs on the go.
- Define success as reduced average transaction time (taps and seconds to complete) and increased frequency of repeat use for the target persona.
What a strong answer includes
- Translates 'busy' into a concrete, measurable proxy: time and taps per transaction, not a vague notion of convenience.
- Distinguishes low-value trusted transactions (where speed should win over friction/security checks) from high-value ones (where more confirmation is appropriate), showing nuanced risk thinking.
- Proposes a specific, common busy-person scenario (group bill-splitting) with a concrete flow design.
- Uses transaction time and repeat-use frequency as metrics, which map directly to the busy-persona value proposition.
Common mistakes
- Designing generic payment features with no clear tie to the 'busy people' persona constraint.
- Ignoring the security trade-off of reducing confirmation steps, even for small transactions.
- No specific metric tied to speed or friction reduction.
Likely follow-up questions
- How would you balance speed against fraud risk for one-tap payments?
- How would you identify which payees are safe to fast-track automatically?
- What would you do if the bill-split feature had low adoption despite testing well?
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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