Product design question
Walmart is noticing that a lot of kids ( aged 10-15) are visiting the stores and shop. How will you design a shopping cart for these kids?
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What this question tests
Product design for an unusual physical-and-digital hybrid aimed at a non-standard user, kids with limited autonomy.
How to approach it
- Clarify the underlying goal: is Walmart trying to increase engagement and basket size from kid shoppers, or improve experience while parents shop?
- Identify the user: kids aged 10 to 15 have some autonomy but limited spending power and need parental guardrails.
- Surface pain points: navigating a large store, staying within a budget, and parents wanting visibility or control.
- Prioritize a simple, safe experience: a smaller, easier cart with a companion app feature showing a real-time parent-set budget.
- Add light gamification, a running total with a friendly visual, without turning it into a distraction from shopping.
- Define success as parent opt-in rate for the budget feature and fewer checkout basket disputes or overspend.
What a strong answer includes
- Explicitly designs around the two-stakeholder reality, kid user and parent controller, not just the kid alone.
- Proposes a concrete, low-complexity mechanism, real-time budget display, rather than an overbuilt gamified app.
- Ties success to a measurable, business-relevant outcome, budget adherence and parent opt-in, rather than vague 'fun.'
Common mistakes
- Designing purely for entertainment and gamification without addressing parental control and budget concerns.
- Ignoring the physical cart constraint, size and safety, and jumping straight to app features.
Likely follow-up questions
- How would you prevent kids from just ignoring the budget feature?
- How would you test this without a full store rollout?
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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