Metrics question

You are the PM for a superstore chain. One store has been loosing profit YOY. What metrics would you request to help you investigate?

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 structured diagnostic thinking, requesting the right data to separate revenue, cost and mix problems before proposing a fix.

Split profit into its drivers: revenue, foot traffic and basket size, versus cost, labor, shrinkage and rent, since either side could be the cause.
Request revenue-side data: YOY foot traffic, average transaction value, and category-level sales mix versus other stores in the chain.
Request cost-side data: labor cost as a percent of sales, shrinkage or theft rate, and any recent rent or lease changes.
Request external context: a new competitor opening nearby, local demographic shifts, or a road or construction change affecting access.
Compare this store against similar stores in the chain to isolate whether the cause is store-specific or a broader chain-wide trend.

Splits the diagnosis cleanly into revenue and cost drivers instead of asking for undifferentiated general data.
Explicitly requests a comparison against similar stores to isolate a store-specific cause from a chain-wide trend.
Includes external, non-store factors, competitor entry or local changes, that a purely internal metrics view would miss.

Asking for data with no structure, or requesting every possible metric without prioritization.
Assuming the cause is internal without considering external factors like a new competitor.

Which single piece of data would you request first if you could only ask for one?
How would you distinguish a temporary dip from a structural decline?