Product design question

Design a product to improve the lunch experience in XYZ company.

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 design for an internal, workplace-context problem, balancing user needs against operational constraints.

Define the user: an employee choosing where and what to eat during a limited lunch window, constrained by crowding and menu visibility.
Identify top pain points: long lines at popular stations, not knowing what's being served until arriving, and limited seating.
Prioritize solving visibility and crowding first, since they affect every employee daily, over less common issues like dietary variety.
Design a solution: a live menu and wait-time app tied to badge data, with optional pre-ordering for popular stations.
Define success metrics: average time from arrival to seated-with-food, and reduction in reported wait complaints.

Uses real operational data, like badge-in patterns, to predict crowding rather than guessing peak times.
Proposes pre-ordering for the busiest station only, avoiding overbuilding for stations with no real wait problem.
Gives an illustrative metric, e.g. cutting average wait from 12 to 6 minutes, marked as an assumption.
Considers the trade-off between pre-ordering convenience and reduced in-person browsing that employees may enjoy.

Designing a generic food-delivery app instead of addressing the specific in-office crowding problem.
Ignoring facilities and catering operations constraints when proposing pre-ordering.

How would you roll this out without disrupting existing catering operations?
What would you measure to know if pre-ordering cannibalizes healthy browsing behavior?