Product Sense: Designing a Google Laundry Appliance from Users to MVP

Quick Overview

A product design exercise asking how you would design a washing machine for Google. It tests whether you can resolve an ambiguous prompt, choose a user segment, map pain points across the laundry routine, prioritize an MVP and define success metrics with hardware, safety and privacy risks in mind.

Product Sense: Designing a Google Laundry Appliance from Users to MVP

Company: Google

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

You are a product manager asked to design a washing machine for Google. The prompt gives nothing more, so part of the exercise is deciding what that means. Explain whom the machine is for, which laundry problems it should solve, what the first version would include and how you would judge whether it succeeds. ```hint Map the whole chore Follow one load from the moment clothes land in the hamper until they are back in a drawer. The steps where people forget, guess or wait are where a connected machine can do something an ordinary washer cannot. ``` ### Clarifying Questions - Does Google want to make and sell this machine for people's homes, or is it a machine for Google's own offices and employees? - What does Google want from it: hardware revenue, a stronger smart-home ecosystem around its assistant and devices, or something else? - Is the scope a washer only, a washer and dryer pair, or a single combined unit? - Which market launches first, given that machine types, sizes and energy rules differ between regions? ### What a Strong Answer Covers - A stated interpretation of who buys and uses the machine and why Google would build it, with a reasoned choice of one user segment. - Pain points across the whole laundry routine (starting a load, sorting, choosing settings, forgetting a finished load, supplies), not only the wash itself. - Solutions that draw on what Google is good at, such as its assistant, notifications and learning from sensor data, prioritized into an MVP that still works without a connection. - Success metrics with guardrails for cleaning quality, fabric damage, safety and privacy. - Hardware realities: build versus partner, price, the long replacement cycle of appliances, repair and years of software support. ### Follow-up Questions - Households replace a washer only every decade or so. How would you reach the many people who just bought an ordinary machine? - Would you put a camera in the drum to recognize colors and fabrics? What would it take for users to accept it? - How would the design change if the machines were shared, as in an apartment building's laundry room or an office?

Overview: A product design exercise asking how you would design a washing machine for Google. It tests whether you can resolve an ambiguous prompt, choose a user segment, map pain points across the laundry routine, prioritize an MVP and define success metrics with hardware, safety and privacy risks in mind.

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Google
Jul 8, 2024
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You are a product manager asked to design a washing machine for Google. The prompt gives nothing more, so part of the exercise is deciding what that means. Explain whom the machine is for, which laundry problems it should solve, what the first version would include and how you would judge whether it succeeds.

Clarifying Questions Guidance

  • Does Google want to make and sell this machine for people's homes, or is it a machine for Google's own offices and employees?
  • What does Google want from it: hardware revenue, a stronger smart-home ecosystem around its assistant and devices, or something else?
  • Is the scope a washer only, a washer and dryer pair, or a single combined unit?
  • Which market launches first, given that machine types, sizes and energy rules differ between regions?

What a Strong Answer Covers Guidance

  • A stated interpretation of who buys and uses the machine and why Google would build it, with a reasoned choice of one user segment.
  • Pain points across the whole laundry routine (starting a load, sorting, choosing settings, forgetting a finished load, supplies), not only the wash itself.
  • Solutions that draw on what Google is good at, such as its assistant, notifications and learning from sensor data, prioritized into an MVP that still works without a connection.
  • Success metrics with guardrails for cleaning quality, fabric damage, safety and privacy.
  • Hardware realities: build versus partner, price, the long replacement cycle of appliances, repair and years of software support.

Follow-up Questions Guidance

  • Households replace a washer only every decade or so. How would you reach the many people who just bought an ordinary machine?
  • Would you put a camera in the drum to recognize colors and fabrics? What would it take for users to accept it?
  • How would the design change if the machines were shared, as in an apartment building's laundry room or an office?