Estimation Case: Yearly Dollar Value of US Food Delivery Orders
Company: Uber
Role: Product Manager
Category: Product / Decision Making
Difficulty: medium
Interview Round: Other
How large is food delivery in the United States? Give a yearly dollar estimate and walk through how you got there.
```hint Pick the unit first
Decide what you will count (households that order, or restaurants that fulfill orders) and what one order is worth. Choosing the unit up front keeps a group order from being counted once per person.
```
### Clarifying Questions
- Does "food delivery" mean prepared restaurant meals only, or should grocery and convenience delivery be included?
- Should the figure be what consumers spend (food plus fees and tips), or the revenue that delivery platforms keep?
- Should orders that restaurants deliver with their own drivers, such as pizza chains, count alongside orders placed through third-party apps?
- Is a current-year snapshot enough, or should the estimate also say something about growth?
### What a Strong Answer Covers
- A stated market definition and counting unit chosen before any numbers appear
- Segmentation of households (or diners) by ordering frequency, with every assumption labeled and rounded
- A value per order that separates food, fees and tips, and a clear distinction between consumer spend and platform revenue
- Clean arithmetic and a sanity check from an independent angle, such as restaurant supply or share of total restaurant sales
- The assumptions that move the result most, and how they could be firmed up with data
### Follow-up Questions
- Which single assumption changes your estimate the most, and how would you validate it cheaply?
- How would the number change if grocery and convenience delivery were included?
- How would you estimate how fast this market will grow over the next few years?
Overview: A product manager estimation case that asks for the yearly dollar size of the US food delivery market. It tests defining what the market includes, choosing a counting unit, segmenting households by ordering frequency, pricing an order, and sanity checking the result from a second angle.