Consulting Interview Questions

Market Sizing Case Interview - How to Ace It

"How many coffee cups are sold in the US per day?"

Why Interviewers Ask This

Market sizing tests your structured thinking, ability to make reasonable assumptions, and comfort with ambiguity — core consulting skills.

How to Answer

  1. 1

    State your approach before calculating — top-down or bottom-up.

  2. 2

    Break the problem into components with clear assumptions.

  3. 3

    Do the math out loud, rounding for simplicity.

  4. 4

    Sanity check your answer against known benchmarks.

Sample Answer

I will use a top-down approach. US population is about 330 million. Let me segment by age: roughly 250 million are adults (15+). I will estimate coffee drinking rates by segment: about 65% of adults drink coffee, so 162 million coffee drinkers. Average consumption: heavy drinkers (30%) average 3 cups, moderate (40%) average 1.5 cups, light (30%) average 0.5 cups. Weighted average: 0.3×3 + 0.4×1.5 + 0.3×0.5 = 0.9 + 0.6 + 0.15 = 1.65 cups per drinker per day. Total: 162M × 1.65 = about 267 million cups per day. Sanity check: the NCA reports about 400 million cups daily, so my estimate is in the right ballpark — I may have underestimated heavy drinkers.

Pro Tips

  • Structure matters more than precision — interviewers watch your process.

  • State assumptions explicitly so the interviewer can challenge them.

  • Round aggressively — 330M not 331.9M. This is about logic not arithmetic.

Frequently Asked Questions

Top-down or bottom-up — which is better?

Neither is inherently better. Top-down starts from population and segments down. Bottom-up starts from individual units and scales up. Using both to cross-check is ideal.

What if my answer is way off?

The process matters more than the answer. If your approach is logical and assumptions are stated clearly, being off by 2-3x is fine. Wildly off (10x) suggests flawed logic.

How do I practice market sizing?

Practice daily with random questions: how many gas stations in your city, how many flights per day, revenue of a local restaurant. Build a library of base assumptions (population, household size, income).

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