Hi @Emily352,
You are entirely right. Having said that though, there is a mathematical law, called: “Wisdom of the crowd”. So, when Airbnb can acquire enough answers from “semi”-experts (guests), the truth will slowly, but definitely bubble to the surface. Even better than what is actually listed by the owner (the expert). And still even better, when the individual answers may be of a somewhat poor quality.
Small example: In order to enter a property, one may have to enter 2 small doorsteps. An owner may consider this to be a flat entry. Whereas some guests may consider these as stairs. Maybe at best as a non-flat entry.
At Airbnb it is all about numbers. And they are aware of probability rates, influence of larger numbers, etc. They know, when to say: It is too close to call.
So don’t be surprised, when certain amenities will automatically be added or removed from a listing in due time.
A lot of hosts hate the location rating (hosts can’t move their property. Usually the location is also clearly listed or mentioned too). But for guests (so also pricewise), this is invaluable information! Even a distance of about 50 meters can make a huge difference! The view from one apartment may be marvelous, whereas the view from the adjacent apartment may be a bit cluttered. Another apartment may be at main street, whereas the adjacent apartment, is just around the corner.
All they are trying to achieve, is to capture basic human emotions in a mathematical model.
Don’t worry: All this data is not just meant to look at the hosts, they will also use this data to look at guests as well!
I.e.: When Airbnb notices that a particular area/accommodation in ‘general’ is rewarded lower by middle-aged guests from France. But being rewarded higher by younger guests from the UK. They can and will use this information in the provision of search results to potential guests.
End goal: As many bums on beds as possible, at a sustainable price. I would love to see that 1-page KPI report, which BC finds on his desk, every morning!