Metrics question

If you were the head of product at AirBnB, what metrics would you look at to determine success over a 2-year time horizon?

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

Building a long-horizon metric framework that ties company strategy to leading and lagging indicators, not just a dashboard of numbers.

State Airbnb's likely 2-year bet: becoming the default platform for all trip-related bookings, not just stays.
Separate the north star, nights booked or gross booking value, from supporting pillars: host supply, guest retention, and category diversification.
Build a tree under each pillar, for example host supply: active listings, host retention, new host activation rate.
Add guardrails: review scores and trust incidents, host economics, and average daily rate not rising so fast it kills demand.
Separate short-term movable metrics like weekly bookings from 2-year lagging ones like repeat-guest rate.
Confirm with the interviewer whether success means growth, profitability, or both.

Leads with GBV and nights booked as the north star, broken into supply times demand times conversion.
Adds category-expansion metrics like experiences GBV and long-stay share, since that is Airbnb's real 2-year bet.
Flags host churn and review-score decline as counter-metrics to booking growth.
Uses an illustrative number: if experiences go from 2% to 10% of GBV, that signals diversification is working.

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