Measuring Airbnb's Homepage: North Star, Leading Indicators and Guardrails
Company: Coinbase
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
How would you measure whether Airbnb's homepage is doing its job? Propose the metrics you would set up for it.
```hint Start from the page's job
Before naming any metric, decide what a homepage visit is supposed to achieve for the different people who land there, and which of those outcomes the page itself can actually move.
```
### Clarifying Questions
- Does "homepage" mean the logged-out web page that new visitors see, the home screen of the app for signed-in guests, or both?
- Should the metrics cover only travelers looking for a place to stay, or also the people the page invites to list their home as hosts?
- Are Experiences in scope along with Stays?
- Will these metrics feed an executive dashboard, decide A/B tests of homepage changes, or both?
### What a Strong Answer Covers
- The homepage's role for distinct visitor types (travelers with a set destination, browsers looking for ideas, prospective hosts) and what success means for each
- A primary metric with a defensible link to bookings, plus faster leading indicators the homepage team can move
- Counter-metrics that catch a change that wins clicks but loses bookings, slows the page, or brings in hosts who never go live
- Measurement pitfalls: long booking cycles, visitors who never pass through the homepage, last-click credit versus experiments, and seasonality
- How the metrics are segmented and used to make decisions
### Follow-up Questions
- After a homepage redesign, searches started from the page go up but bookings stay flat. How would you investigate?
- How would the metric set differ for a signed-in guest who already has an upcoming trip?
- Marketing wants a large banner for a new offering at the top of the homepage. Which metrics would tell you whether it hurts the page's main job?
Overview: Asks how to measure the success of Airbnb's homepage. It tests whether the candidate can tie the page's job for travelers, browsers and prospective hosts to a primary metric, faster leading indicators and guardrails, while handling attribution, long booking cycles and seasonality.