Measuring success for a robot Meta is building: what to track
Company: Meta
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
Facebook (now Meta) is designing a robot. What metrics would you consider as part of that design work?
```hint Pin down the robot first
Metrics only mean something against a job, so settle what this robot is for and who uses it before listing anything to measure.
```
### Clarifying Questions
- Is this a physical robot, or a software bot that people talk to inside Messenger or another Meta app?
- What job is it meant to do, and for whom: people at home, businesses, or Meta's own operations such as its data centers?
- Do you want metrics that guide design decisions during testing, success metrics after launch, or both?
### What a Strong Answer Covers
- A stated assumption about the robot's purpose and first users, with a reason, and a goal metric tied to that purpose
- Measures of whether the robot does its job well, kept separate from measures of whether people use it
- Safety, privacy and trust measures suited to a robot built by Meta
- Reliability and cost measures that decide whether it can ship and scale
- Prioritization among the metrics, the trade-offs between them, and which apply in testing versus after launch
### Follow-up Questions
- Usage is high, but most sessions end with a person stepping in to finish the task. What does that tell you, and what would you change?
- How would your metrics change if the robot were the other kind: a chatbot instead of a physical device, or the reverse?
- Which single metric would block a launch no matter how good the others look?
Overview: A product metrics interview question asking which metrics to consider while Facebook designs a robot. It tests clarifying an underspecified product, tying a goal metric to the robot's purpose, and covering task performance, adoption, safety, privacy, reliability and cost, with sensible prioritization and trade-offs.