Production volume planning for a phone-replacing device: from demand forecast to build
Company: Google
Role: Product Manager
Category: Product / Decision Making
Difficulty: medium
Interview Round: Other
You have built a new kind of device intended to replace the mobile phone. Explain how you would decide how many units to manufacture: estimate the demand, make your assumptions explicit, turn the estimate into a production number, and show how you would check it.
```hint Split the problem in two
First estimate how many people would buy the device in a defined period; then ask what, besides that demand, decides how many units you actually build.
```
### Clarifying Questions
- What do we know about the device: its price relative to today's phones, and whether people's existing apps will work on it?
- Which markets does it launch in, and what period should the number cover: the launch run, the first year, or longer?
- Is it meant to replace smartphones, basic phones, or both?
- Will it be sold through carriers and retailers, or only directly?
### What a Strong Answer Covers
- The device, price, launch markets and time horizon, stated as explicit assumptions
- A demand equation that starts from a defined pool of potential buyers and narrows it with labeled adoption assumptions
- Correct, unit-consistent arithmetic, a sanity check from an independent reference point, and a range rather than a single figure
- How the demand estimate becomes a production quantity, including inventory needs and the cost of building too many or too few
- How the number would be revised as real demand signals arrive
### Follow-up Questions
- Which assumption moves your estimate the most, and what research would you run before launch to tighten it?
- Pre-orders in the first week come in at three times your forecast. What do you change?
- How would your answer change if the device cost twice as much as a flagship phone?
Overview: An estimation and planning question about deciding how many units to manufacture of a new device meant to replace the mobile phone. It tests building a demand estimate from labeled assumptions, sanity-checking it, and turning the forecast into a production quantity that accounts for inventory and risk.