Product design question

Build a new product on Facebook to find apartments.

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

Product design leveraging an existing platform's unique data (social graph, Groups, Marketplace) for a new vertical.

Define the user: someone searching for an apartment who wants trust signals a generic listing site lacks, like mutual friends or verified reviews.
Identify the pain point: rental listings elsewhere are often stale, unverified, or lack social proof about the neighborhood or landlord.
Prioritize leveraging Facebook's unique advantage: existing Marketplace listings, Groups (like local rental groups), and social graph trust signals.
Design the core flow: a dedicated apartment search surface that pulls from Marketplace and Groups, with a 'friends who lived here' or neighborhood group link.
Define success metrics: successful lease connections (self-reported), listing freshness, and search-to-contact conversion rate.
Address risk: fraud and fake listings, which already plague Marketplace, would need dedicated verification for housing.

Grounds the idea in Facebook's actual existing behavior, since many local rental groups already exist organically on the platform.
Proposes a specific trust feature, like showing mutual friends or group overlap with a landlord or current tenant.
Gives an illustrative metric, e.g. search-to-contact conversion rising by leveraging social proof, marked as an assumption.
Flags fraud prevention as a must-solve constraint given housing scams are high-stakes and already a known Marketplace problem.

Proposing a generic listings site that ignores Facebook's actual unique advantage, the social graph.
Ignoring fraud risk, which is a known and serious issue in online rental listings.

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