Measuring success for a robot Meta is building: what to track

Quick 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.

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.

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Meta
Apr 18, 2024
mediumProduct ManagerOtherAnalytics & Experimentation
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Facebook (now Meta) is designing a robot. What metrics would you consider as part of that design work?

Clarifying Questions Guidance

  • 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 Guidance

  • 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 Guidance

  • 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?