Smart footwear product design: choose users, the problem and a first version
Company: Google
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are a product manager asked to create a smart shoe. Decide what "smart" should mean, who the shoe is for and which of their problems it solves, then propose a first version, prioritize its features, and explain how you would know whether it is succeeding.
```hint Start from the foot
Ask what a shoe can sense or do that a phone or a watch cannot, and which group of people has a problem that only that capability solves well.
```
### Clarifying Questions
- Who is building it: a footwear brand adding technology, a technology company entering footwear, or a startup?
- Is the goal adoption of a new product category, revenue from the hardware, or engagement with a wider platform the shoe connects to?
- Does "smart" have to mean sensing and software, or can it include shoes that adjust physically, such as self-tightening laces?
- Are there limits on price or target market, and should the shoe work with a companion phone app?
### What a Strong Answer Covers
- A working definition of "smart" and a goal for the product, tied to who is building it
- Several user segments compared, with one chosen and the reason for the choice
- That segment's pain points, and why a shoe rather than an existing device is the right form to address them
- Prioritized features for a first version that respect hardware limits such as battery life, durability, washing, comfort, sizing and cost
- Success metrics with guardrails, and the main risks, including the privacy of body and location data
### Follow-up Questions
- Shoes wear out much sooner than electronics do. How does that shape your design and business model?
- How would you test demand before building the hardware?
- What would make you expand to a second user segment, and which one would it be?
Overview: A product design prompt asking a product manager to create a smart shoe: define what smart means, choose a user segment and its problem, prioritize features for a first version, and set success metrics. It tests product sense, segmentation, hardware trade-offs and metric thinking.