Product design question

Let’s say that you are the PM for Uber Eats and assume that helping users eat healthier will improve engagement. What new feature will you build to test this assumption?

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

Hypothesis-driven feature design, testing a stated assumption cheaply before committing to a big build.

Restate the assumption to test: healthier eating options drive more frequent, sustained ordering versus current behavior.
Identify the segment: users who order frequently but skew toward less healthy categories, where a behavior shift would be most visible.
Design a minimal feature to test it: a "healthy pick" filter or badge on menu items based on simple criteria like calories or macros.
Define the test: compare order frequency and retention over 4 to 6 weeks for badge-exposed users versus a control group.
Set success criteria upfront: a higher repeat order rate among badge-exposed users confirms the assumption and justifies deeper investment.
Plan the next step if validated: personalized healthy recommendations or restaurant partnerships.

Designs the smallest testable feature, a badge or filter, instead of a large healthy-eating platform, appropriate for cheap validation.
States the test design explicitly, control group, timeframe, and success threshold, rather than just building and hoping.
Chooses a segment where the effect would be most measurable.
Names a clear next step conditioned on the test result, showing this is a stage-gated bet, not a blind launch.

Jumping straight to a large feature like meal plans without testing the core assumption cheaply first.
Not defining what data would confirm or reject the assumption.
Ignoring that "healthy" needs an operational definition to be testable.

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