Product design question

Design a washing machine for Google.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Creative product design under an unusual prompt, testing whether structured thinking still holds when the product itself is odd.

Clarify what makes this a Google washing machine: connected, AI assisted, or just Google branded hardware.
Identify the user segment, for example busy households wanting less manual laundry management.
Find a real pain point: guessing wash cycles, wasted water or detergent, and forgetting laundry until it wrinkles.
Prioritize a smart cycle recommendation using fabric sensors and a phone notification over cosmetic app features.
Propose a solution: sensor based auto cycle selection, plus a notification when the load is done.
Define success as water and detergent savings and reduced re-wash rate from wrong cycle selection.

Grounds 'why Google' in a real capability, sensor plus AI cycle optimization and integration with Google Home, rather than ignoring the brand fit question.
Picks one concrete pain point, wrong cycle selection wasting water and detergent, instead of listing generic features.
Gives an illustrative number, e.g. assumes 15 percent water savings from AI optimized cycles.
Ties the product to Google's ecosystem, such as Nest integration for laundry reminders, showing platform thinking.

Ignoring why Google specifically would build this, missing the ecosystem tie in.
Listing generic washing machine features with no connected or smart angle.
No metric to judge whether the smart features actually helped.

Chapters of the AI PM course that teach what this question tests.