Product design question
How would you increase trust in a new fintech app that allows users to transfer money across countries, for example, from a person in the US (in dollars) to a person in India (in rupees)?
- Meta
- Product design
- Hard
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What this question tests
Product design for trust in fintech: identifying concrete trust barriers in cross-border money transfer and proposing mitigations.
How to approach it
- Clarify the core trust concerns: will the money actually arrive, is the exchange rate fair, and is my data safe.
- Identify design levers for transparency: real-time transfer tracking and upfront, clear fee and exchange-rate disclosure.
- Identify social trust levers: verified reviews from other users who have completed similar transfers, and recognizable security certifications.
- Propose a concrete feature, like a live status tracker showing each step from sent to received.
- Define success as reduced support inquiries about transfer status and increased repeat transfer rate.
What a strong answer includes
- Names specific, real trust barriers (fee opacity, uncertainty about arrival) rather than a vague 'make it feel trustworthy.'
- Proposes a concrete transparency feature, like showing the exact exchange rate and fee before the user confirms.
- Addresses social proof directly, like showing anonymized success stats for the specific corridor (US to India).
- Uses an assumed metric, e.g. reducing 'where is my money' support tickets by 30 percent.
Common mistakes
- Giving vague trust advice like 'make the UI feel more polished' with no concrete mechanism.
- Ignoring fee and exchange-rate transparency, the biggest real trust issue in this category.
- Not defining a way to measure whether trust actually improved.
Likely follow-up questions
- How would you handle a transfer that gets delayed or fails?
- How would you make fees transparent without scaring off price-sensitive users?
- How would you measure trust beyond just completion rate?
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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