Estimation question

How much does the 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

Estimation skill: decomposing a market-sizing question using population, pet ownership rates, and spend assumptions.

Clarify scope: total annual spend on dog food across the US, not all pet food.
Estimate the number of dogs in the US, using an assumed figure like 90 million dogs based on general population knowledge.
Estimate average annual food spend per dog, e.g. assume 300 dollars per year for a mix of budget and premium food.
Multiply the two figures to get a total, and round to a clean estimate.
Sanity-check the result against a rough sense of the pet industry's known size.

States each assumption explicitly and clearly, e.g. 'I will assume roughly 90 million dogs in the US.'
Shows the calculation transparently: 90 million dogs times 300 dollars equals 27 billion dollars annually.
Sanity-checks against a known reference, like the broader pet industry being reported in the tens of billions.
Notes the range of outcomes depending on premium versus budget food mix among owners.

Guessing a final number with no visible reasoning or decomposition.
Using wildly unreasonable assumptions, like average spend of 50 dollars or 5,000 dollars per year.
Not sanity-checking the result against any known reference point.

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