Product ideas to grow average order size on Walmart's online store
Company: Walmart Labs
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are a product manager working on Walmart's e-commerce site. How would you get shoppers to buy more in each order, that is, increase the basket size?
```hint Define basket size first
Decide whether you mean items per order or spend per order, and why Walmart would care, since a larger order spreads the cost of picking and delivery. Then look for shoppers whose orders are smaller than what they actually need.
```
### Clarifying Questions
- Does basket size mean average order value or average items per order, and should the goal hold even if order frequency changes?
- Does the scope cover the whole site (groceries with pickup and delivery, general merchandise, third-party marketplace sellers) or one part of it?
- Are there limits on margin, discounting or fulfillment capacity, such as pickup and delivery slots?
- Should Walmart+ members and non-members be treated differently?
### What a Strong Answer Covers
- A precise definition of basket size and the business reason it matters, with a guard against merely consolidating spend into fewer orders
- A chosen shopper segment and the specific reasons its orders are smaller than they could be
- Several solutions across discovery, cart and checkout, prioritized with clear criteria
- A primary metric with guardrails for conversion, order frequency, margin and customer trust
- Risks such as pushy upselling, stock-outs and substitutions, and how the ideas would be tested
### Follow-up Questions
- Your experiment raises average order value, but orders per customer fall. Is that a win?
- How would you raise basket size without discounting away margin?
- Which idea would you test first, and how would you design that experiment?
Overview: A product sense question on increasing basket size for Walmart's online store. It tests how you define basket size, pick a shopper segment, find why orders are smaller than they could be, prioritize solutions, and choose metrics with guardrails for conversion, order frequency and margin.