Metrics question

How would you decide where to establish a Pizza restaurant?

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

Applying a location and market-sizing framework to a concrete site-selection decision.

Clarify the business goal, maximizing foot traffic and sales versus minimizing rent cost, since these push toward different locations.
Identify key demand signals, population density, foot traffic patterns, and proximity to complementary businesses like bars or offices.
Identify supply signals, existing pizza competition density and average rent per square foot in candidate neighborhoods.
Build a simple scoring framework, weighting foot traffic, competition density, and rent cost for each candidate location.
Pick an illustrative example, e.g. a neighborhood with high foot traffic, moderate rent, and low direct pizza competition scores highest.
Define success metrics post-launch, break-even timeline and sales per square foot versus the initial projection.

Builds an explicit scoring framework with named factors, foot traffic, competition, and rent, rather than a vague 'pick a busy area' answer.
Balances demand signals against cost, recognizing that the busiest area is not always optimal once rent is factored in.
Uses a concrete illustrative example neighborhood profile to ground the abstract framework in a decision.
Defines a post-launch metric, break-even time, to validate whether the site selection was actually correct.

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