Connected Door Lock as a Google Home Product: Users, Features and Metrics
Company: Booking.com
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
Design a smart lock as a Google product. Decide who it is for, which problems it should solve, which features come first, and how you would know it succeeded.
```hint Look past the owner
The person who installs a lock is rarely the only one who uses the door. Think about everyone who needs to get in, and the moments when ordinary keys fail them.
```
### Clarifying Questions
- Is the lock meant for home front doors, or could it also target hotel rooms, offices or vehicles? Is the segment my call?
- Should it work with Google's existing smart-home products, such as the Google Home app, Assistant and Nest cameras and doorbells, or stand alone?
- Should it suit renters who cannot replace their lock, or only owners who can install new hardware?
- Is Google after hardware revenue, growth of its smart-home ecosystem, or both?
### What a Strong Answer Covers
- A deliberate choice among homes, rentals, hotels and businesses, with the reason the others wait
- Concrete door-access pain points for the chosen users, including people other than the owner
- Prioritized features with fallbacks for dead batteries, lost connectivity and people without phones
- Success metrics with guardrails for lockouts, security incidents and privacy
- The security, privacy and trust risks of Google holding a record of who enters a home
### Follow-up Questions
- Would you put a fingerprint or face reader on the door? How would you handle the biometric data?
- How would the product change if you targeted hotels instead of households?
- A security researcher publishes a way to unlock the lock remotely. What do you do first, and how do you rebuild trust?
Overview: A product design question asking for a smart door lock built as a Google product. It tests choosing a target segment, finding door-access pain points for owners and the people they let in, prioritizing reliable features with fallbacks, and setting metrics alongside security and privacy risks.