We do that too but notionalizing for us is usually creating data that looks and behaves realistically but is actually fake. (A side benefit to this is that we can then use it for demos!)

So you mock data and then flag it as fake.

Essentially yes! We usually try to follow some sort of theoretical user story/paint some sort of narrative but at the end of the day it’s just adjusting the mocking.

Just now realizing notionalizing isn’t a widely accepted term for this