Diagnosing Why More Walmart Orders Are Being Returned
Company: Walmart Labs
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are a product manager at Walmart. The share of orders that customers return has been climbing. What would you look into, and in what order, to isolate the cause?
```hint Check the number before the business
Before listing possible causes, ask whether the metric itself moved for a real reason: how it is computed, and whether the returns, the orders behind them, or the mix of those orders changed.
```
### Clarifying Questions
- How is the return rate defined: returned orders over orders, returned units, or returned sales value, and is it counted by the date of the return or by the date of the original purchase?
- Did it rise suddenly or gradually, and since when? Is it also higher than in the same weeks last year?
- Which purchases are in scope: in-store sales, online orders shipped or picked up, grocery orders, and items sold by third-party marketplace sellers?
- Has anything changed recently in the return policy, the ways customers can return items, or how returns are recorded?
### What a Strong Answer Covers
- Validating the metric's definition and data before diagnosing anything.
- Separating a change in returns from a change in orders, and a true rate change from a shift in the mix of channels or categories.
- A segmentation checked in a sensible order (channel, category, seller, fulfillment path, region, customer cohort, return reason).
- Internal and external hypotheses, each tied to the data that would confirm or rule it out.
- How to confirm the root cause, size its contribution, and judge whether the rise is actually bad for the business.
### Follow-up Questions
- Every category's return rate is flat, yet the overall rate went up. How is that possible, and what would you check?
- The rise traces to a new, easier way to return online orders. Is that a problem, and how would you decide?
- The extra returns are concentrated in a small set of third-party sellers. What do you do next?
Overview: A product analytics case about Walmart's climbing return rate, asking what a product manager would examine, and in what order, to isolate the cause. It tests metric validation, return-lag and mix-shift reasoning, segmentation by channel, category and seller, and hypothesis-driven root-cause diagnosis.