Estimation question

How much does US spend on dog food every year?

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

Whether the candidate can build a top-down market sizing estimate from pet ownership and spending assumptions.

State assumptions clearly: US population around 330 million, roughly 40 percent of households own a dog, average household size 2.5.
Estimate households: 330 million divided by 2.5 gives about 130 million households, so roughly 52 million dog-owning households.
Assume an average annual spend on dog food per household, for example 300 to 400 dollars.
Multiply: 52 million households times roughly 350 dollars gives about 18 billion dollars per year.
Sanity check the figure, noting real US pet food spending is in a similar tens-of-billions range, and adjust if given better data.

Breaks the problem into households rather than individual dogs, avoiding double counting multi-dog homes.
States a clear per-household spend assumption and explains why that number is reasonable.
Sanity checks against the broader pet industry's known scale to catch order-of-magnitude errors.

Estimating per-dog instead of per-household without adjusting for multiple dogs per home.
Picking a spend assumption without justifying it.

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