Product design question
How will you design a product to teach Finance to kids?
- Razorpay
- Product design
- Medium
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What this question tests
Whether the candidate can design an educational product appropriate to a child's cognitive stage while addressing a real fintech gap.
How to approach it
- Define the segment precisely: children roughly 8 to 14, since financial literacy needs and reading ability differ sharply by age within 'kids'.
- Name the pain point: money feels abstract to kids, and existing financial education is mostly passive (school lessons) rather than hands-on.
- Prioritize experiential learning: a simulated or parent-linked allowance system where kids practice earning, saving, and spending with real or virtual money.
- Propose supporting features: goal-based saving visualizations and parent oversight controls, tying to Razorpay's real strength in payments infrastructure.
- Define success as consistent weekly engagement with saving goals and parent-reported improvement in the child's money habits.
What a strong answer includes
- Narrows 'kids' into a specific age band, since an 8-year-old and a 14-year-old need very different financial concepts.
- Proposes hands-on practice (a real or simulated allowance) instead of passive content, matching how children actually learn best.
- Ties the product to Razorpay's real payments infrastructure strength rather than proposing generic edtech content unrelated to the company.
Common mistakes
- Proposing a content-only app (videos, quizzes) without a hands-on practice mechanic.
- Ignoring parental oversight and safety needs for a product handling money and minors.
Likely follow-up questions
- How would you handle the parental consent and safety requirements for this product?
- What would make a parent trust letting their child use real money through this?
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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