Product design question

How would you improve the Airbnb app?

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

Broad product improvement sense, requiring the candidate to scope a huge app down to one focused, defensible fix.

Scope the improvement to one flow, such as search and discovery, rather than the entire app.
List pain points in that flow: hard to compare similar listings, unclear total price until late in checkout, filter fatigue.
Segment by trip type: last minute solo trips versus planned family trips, since search needs differ.
Prioritize showing total price upfront in search results, since hidden fees are a known trust issue.
Propose the fix: an all-in pricing toggle in search results and a comparison view for shortlisted stays.
Define success as booking conversion rate from search and reduction in cart abandonment at checkout.

Picks one flow, search and pricing transparency, instead of vaguely covering the whole app.
Names the real trust problem, hidden cleaning and service fees appearing late, which is a well known Airbnb pain point.
Proposes a specific fix, an all-in price toggle, with a plausible before and after conversion assumption.
Segments by trip type to justify why comparison tools matter more for family trips than quick solo stays.

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