Estimation question
How do you go about calculating the TAM, SAM and Target Market for the food tech industry?
- Uber
- Estimation
- Medium
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What this question tests
Tests structured market-sizing methodology with clear definitions and labeled assumptions for a specific industry.
How to approach it
- Define TAM as total spend on food, restaurant, grocery and delivery, in the relevant geography, stated as an assumption-based figure.
- Define SAM as the portion of that spend transacted through digital or tech-enabled channels, a much smaller slice, assume roughly 5-10% of TAM given current digital penetration.
- Define the target market as the realistic share a specific company could capture given competition, for example 2-5% of SAM in addressable cities within a few years.
- Show the funnel explicitly, TAM to SAM to target, each with a stated narrowing assumption, not three unconnected numbers.
- State clearly these are illustrative, assumption-driven figures for structure, not precise market research.
What a strong answer includes
- Keeps the three layers clearly nested, each a subset of the previous, with stated narrowing assumptions, rather than three independent guesses.
- Explicitly separates food tech, digital-enabled spend, from total food spend, the key definitional distinction the question tests.
- Presents a clear, followable funnel rather than isolated numbers.
Common mistakes
- Treating TAM, SAM and target market as unrelated numbers instead of a nested funnel.
- Conflating total food spend with food-tech-addressable spend, missing the digital-penetration narrowing step.
Likely follow-up questions
- What data would you use to validate your digital-penetration assumption for SAM?
- How would this breakdown differ for a mature market like the US versus an emerging market?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop