Product design question

How would you design a cafeteria app for employess?

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

Tests product sense for a workplace utility feature, focused on reducing a specific daily friction point for a captive, predictable user base.

Clarify the user: employees at a large campus who eat at the on-site cafeteria regularly, wanting to save time and know what's available.
Identify pain points: long lines at peak lunch hours, uncertainty about the day's menu or dietary options before arriving, and difficulty splitting a group order.
Identify the core job: decide what to eat and minimize wait time, ideally pre-ordering to skip the line.
Propose a daily menu view with dietary tags, pre-order and pickup-time slots to spread out peak demand, and a corporate-badge-linked payment integration.
Address the trade-off: pre-order pickup slots must be tightly time-bound so food quality doesn't suffer from sitting out, requiring kitchen coordination.
Define success: reduction in average lunch wait time, and pre-order adoption rate among regular cafeteria users.

Identifies a specific, common workplace friction, line wait time and menu uncertainty, rather than a generic food app.
Proposes a concrete mechanism, pre-order with staggered pickup slots, directly addressing the peak-hour bottleneck.
Addresses the operational trade-off with the kitchen, showing awareness this isn't purely a software problem.
Defines success with a measurable time-saved metric tied directly to the original pain point.

Designing a generic food-ordering app with no consideration of the captive, predictable, single-location context.
Ignoring kitchen operations, proposing pre-ordering without addressing food quality or capacity constraints.

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