Product design question
Design a kid-friendly Swiggy experience for 10-16 year olds.
- Veeva
- Product design
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Product design for a sensitive user segment: balancing appeal to minors with safety, parental control, and trust considerations.
How to approach it
- Clarify the user: kids aged 10 to 16 ordering food, likely with parental oversight required for payment.
- Identify core needs: a simple, fun ordering experience alongside strict safety and spending controls for parents.
- Design the core flow: a linked parent account sets a spending limit and approved restaurant list, then the child orders within those bounds.
- Address safety explicitly: no direct messaging with delivery partners, and age-appropriate content and restaurant options.
- Define success as adoption by parent accounts and completed orders within set limits with zero safety incidents.
What a strong answer includes
- Treats parental control as core to the design, not optional, given the sensitivity of a minors-facing product.
- Proposes a concrete safety feature, like disabling direct chat between the child and the delivery partner.
- Addresses monetization carefully, since ads or upsells targeting children raise ethical and regulatory concerns.
- Uses an assumed metric, e.g. requiring zero safety incidents as a hard gate before any feature expansion.
Common mistakes
- Designing a fun experience while ignoring safety and parental control requirements.
- Ignoring regulatory considerations around marketing to children.
- Not addressing how spending limits or approvals are enforced.
Likely follow-up questions
- How would you handle regulatory requirements around children's data privacy?
- How would you prevent the delivery partner from having direct contact with the child?
- How would parents set and adjust spending limits?
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More questions from Veeva
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