Product design question

How would you improve Walmart?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Product sense for a large omnichannel retailer, requiring a focused improvement grounded in a real segment.

Pick a specific user segment, like budget-conscious families doing weekly grocery and household shopping, rather than 'all Walmart shoppers.'
Identify a real pain point: reconciling in-store versus online prices and inventory, since availability and pricing can be inconsistent across channels.
Prioritize improving cross-channel inventory and pricing accuracy over adding new unrelated features.
Propose a solution: real-time in-app inventory checking per specific store location, with accurate live pricing including local promotions.
Define success metrics: reduction in 'item not available at checkout' incidents and increase in buy-online-pickup-in-store completion rate.

Names a specific, high-frequency pain point, cross-channel inventory and price mismatch, rather than a vague improvement.
Proposes a concrete, technically groundable fix, real-time per-store inventory sync, addressing a well-known retail challenge.
Gives an illustrative metric, e.g. reducing checkout unavailability incidents by 30%, marked as an assumption.
Ties the improvement to Walmart's core value proposition of reliable low-price shopping at scale.

Proposing generic e-commerce features unrelated to Walmart's core omnichannel grocery and retail challenge.
Ignoring the operational complexity of syncing real-time inventory across thousands of physical stores.

Chapters of the AI PM course that teach what this question tests.