Architect Alexa voice control for Peloton equipment: APIs and components

Quick Overview

An Amazon product manager system design question about making a Peloton exercise machine controllable by voice through Alexa. Candidates specify the APIs, sketch the architecture and explain each component, and are tested on latency, safety for physical commands, reliability and account linking.

Architect Alexa voice control for Peloton equipment: APIs and components

Company: Amazon

Role: Product Manager

Category: System Design

Difficulty: medium

Interview Round: Other

Design the system that lets a rider control a Peloton exercise machine by voice through Alexa. Specify the main APIs, sketch the architecture, and explain the role of each component. ```hint Sort commands by risk Not every voice command carries the same stakes. Ask what happens if each one is misheard or arrives a few seconds late, and let the answer shape how that command travels through the system. ``` ### Clarifying Questions - Is Alexa built into the Peloton's screen, or does the rider speak to a separate Echo device in the same room? - Which actions are in scope: finding and starting classes, in-workout controls such as resistance or speed, reading back stats, or all three? - Am I designing as Peloton on Amazon's public Alexa developer tools, or as Amazon with access to Alexa's internals? - Should voice be allowed to change anything that moves the rider, such as treadmill belt speed, or only controls that cannot cause harm? ### What a Strong Answer Covers - A scoped set of voice use cases and a justified choice between a cloud skill on a nearby speaker and Alexa built into the machine - The end-to-end path from spoken request through speech recognition and intent matching, the skill backend, Peloton's cloud and the machine, with a latency budget - Concrete API definitions: the intent and slot model, cloud command and query endpoints, account linking, and the push channel to the machine - Safety and reliability for physical commands: confirmation, bounded changes, command expiry, idempotency and offline machines - Privacy, households with several riders, and the metrics that show whether voice control works ### Follow-up Questions - Mid-climb, a rider says "make it harder" and the bike's connection drops for a few seconds. What does each component do, and what does the rider hear? - How would the design change if Alexa moved from a nearby Echo into the Peloton screen itself? - Which metrics would tell you that a command type should be pulled or redesigned?

Overview: An Amazon product manager system design question about making a Peloton exercise machine controllable by voice through Alexa. Candidates specify the APIs, sketch the architecture and explain each component, and are tested on latency, safety for physical commands, reliability and account linking.

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Amazon
Nov 7, 2024
mediumProduct ManagerOtherSystem Design
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Design the system that lets a rider control a Peloton exercise machine by voice through Alexa. Specify the main APIs, sketch the architecture, and explain the role of each component.

Clarifying Questions Guidance

  • Is Alexa built into the Peloton's screen, or does the rider speak to a separate Echo device in the same room?
  • Which actions are in scope: finding and starting classes, in-workout controls such as resistance or speed, reading back stats, or all three?
  • Am I designing as Peloton on Amazon's public Alexa developer tools, or as Amazon with access to Alexa's internals?
  • Should voice be allowed to change anything that moves the rider, such as treadmill belt speed, or only controls that cannot cause harm?

What a Strong Answer Covers Guidance

  • A scoped set of voice use cases and a justified choice between a cloud skill on a nearby speaker and Alexa built into the machine
  • The end-to-end path from spoken request through speech recognition and intent matching, the skill backend, Peloton's cloud and the machine, with a latency budget
  • Concrete API definitions: the intent and slot model, cloud command and query endpoints, account linking, and the push channel to the machine
  • Safety and reliability for physical commands: confirmation, bounded changes, command expiry, idempotency and offline machines
  • Privacy, households with several riders, and the metrics that show whether voice control works

Follow-up Questions Guidance

  • Mid-climb, a rider says "make it harder" and the bike's connection drops for a few seconds. What does each component do, and what does the rider hear?
  • How would the design change if Alexa moved from a nearby Echo into the Peloton screen itself?
  • Which metrics would tell you that a command type should be pulled or redesigned?