Metrics question

What would you build if you were a start-up in the food delivery space?

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 and metrics thinking for a competitive market: picking a defensible wedge and the metrics to validate it.

Clarify the market: food delivery is crowded with DoorDash, Uber Eats, and Grubhub already dominant.
Identify an underserved niche, such as specific cuisines, dietary needs, or a specific geography like college towns.
Propose a differentiated model, like lower fees for restaurants or subscription-based delivery for a niche audience.
Define the core loop: restaurant onboarding, order flow, delivery, and repeat ordering incentives.
Define success metrics, like order frequency per user and restaurant retention on the platform.

Picks a specific, defensible niche (e.g. college towns with dense, walkable delivery zones) instead of competing head-on.
Names a concrete differentiator, like lower commission fees to win restaurant supply from incumbents.
Uses an assumed metric, e.g. targeting 3 orders per user per month within the niche.
Acknowledges the risk of incumbents copying the niche strategy once it proves successful.

Proposing to compete broadly with DoorDash and Uber Eats with no differentiation.
Ignoring the two-sided nature of the marketplace (restaurants and consumers).
No clear metric to judge early traction.

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