I see browsepaths as a means for users to discover datasets if he/she is just "browsing" without a goal in mind. The search filters works well but the user would need to understand what they mean. Browsepaths are a more simple way to get started.
We also use it to "group" datasets in themes that wont work with the current domain model (for instance, "basic training datasets", "for finance", "for HR") but browsepaths allow us to surface the dataset at multiple locations, whereas currently the UI only allows 1 domain per dataset. (I guess it can be replaced with tagging, but discovering existing tags is still an issue)
previously we also use it to mimic folder structures for some file type datasets. We still do, but we also use containers. Some users might find the "folder" appearance more intuitive, though.
p.s: we created a UI panel for dataset owners to flexibly edit their existing browsepaths, hence we use it as such.
I also referred to the long_tailed_companions datasets a lot in the demo site because i needed a "test" dataset to try out some stuff, and it ranked first in the browsepaths😅