Product Sense: Guiding Brand-New Airbnb Hosts to the Right Nightly Price
Quick Overview
A product sense question about helping people who list a home on Airbnb for the first time decide what to charge per night. It tests choosing a target segment of new hosts, explaining why pricing is hard without reviews or booking history, prioritizing product ideas, and defining success metrics and guardrails for a two-sided marketplace.
Product Sense: Guiding Brand-New Airbnb Hosts to the Right Nightly Price
Company: Google
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are a product manager working on the host side of Airbnb. Someone listing a place on Airbnb for the first time usually has to pick a nightly price with very little to go on. How would you help first-time hosts decide what to charge for their listing?
```hint Why is the first price hard?
List what a brand-new host is missing compared with an established one, such as reviews, booking history and a feel for local demand, and ask which of those gaps the product could fill at each moment of the pricing journey.
```
### Clarifying Questions
- What should success mean here: getting new hosts their first bookings quickly, maximizing what they earn, or keeping them hosting over the long term?
- Does the scope cover only the price a host picks when publishing the listing, or also how it changes later by date, season and length of stay?
- Which first-time hosts matter most: someone renting a spare room or their home while away, or an owner listing a second home as an investment?
- Must the host keep the final say on price, or may Airbnb set prices automatically for hosts who opt in?
### What a Strong Answer Covers
- A goal that balances new-host success with guest value and the health of the marketplace.
- A chosen segment of first-time hosts and the concrete reasons pricing is hard for them without any booking history.
- Solutions mapped to moments in the host's pricing journey, prioritized with clear reasoning.
- A success metric with guardrails, plus a way to test the launch when new and existing hosts compete for the same guests.
- Risks such as hosts distrusting recommendations and listings with too few comparables.
### Follow-up Questions
- A host's home is unusual for its area and has almost no comparable listings. How does your guidance still work?
- Hosts who follow the suggested price get booked faster but say they earn less than they expected. What would you change?
- How would you A/B test the feature when new and existing hosts compete for the same guests in a city?
Overview: A product sense question about helping people who list a home on Airbnb for the first time decide what to charge per night. It tests choosing a target segment of new hosts, explaining why pricing is hard without reviews or booking history, prioritizing product ideas, and defining success metrics and guardrails for a two-sided marketplace.
You are a product manager working on the host side of Airbnb. Someone listing a place on Airbnb for the first time usually has to pick a nightly price with very little to go on. How would you help first-time hosts decide what to charge for their listing?
Clarifying Questions Guidance
What should success mean here: getting new hosts their first bookings quickly, maximizing what they earn, or keeping them hosting over the long term?
Does the scope cover only the price a host picks when publishing the listing, or also how it changes later by date, season and length of stay?
Which first-time hosts matter most: someone renting a spare room or their home while away, or an owner listing a second home as an investment?
Must the host keep the final say on price, or may Airbnb set prices automatically for hosts who opt in?
What a Strong Answer Covers Guidance
A goal that balances new-host success with guest value and the health of the marketplace.
A chosen segment of first-time hosts and the concrete reasons pricing is hard for them without any booking history.
Solutions mapped to moments in the host's pricing journey, prioritized with clear reasoning.
A success metric with guardrails, plus a way to test the launch when new and existing hosts compete for the same guests.
Risks such as hosts distrusting recommendations and listings with too few comparables.
Follow-up Questions Guidance
A host's home is unusual for its area and has almost no comparable listings. How does your guidance still work?
Hosts who follow the suggested price get booked faster but say they earn less than they expected. What would you change?
How would you A/B test the feature when new and existing hosts compete for the same guests in a city?