Which almost nobody does, unless they are either completely unsatisfied with the software or completely in love with the software (just like TripAdvisor feedback)
Good point. Better build in a surveillance engine to spy on your users. /s
This seems like an issue with how the product presents that choice or ability to users.
For example about half of the people who make it to the end of my video courses write in and give me feedback based on a 7+ question form I ask them to fill out at the end of the course. I ask very specific questions that could likely be answered in 1 minute or less each. Out of thousands of submissions, a huge majority are positive.
I don't ask for feedback or anything early on, and do my best to avoid giving someone extra "work" to do. I present it in the form of "hey, I see you made it to the end of the course, your feedback is helpful so that my next course is even better aligned with what you want...".
Folks are happy to provide feedback in that case.
I'm one of those people who typically turn telemetry off when I can because in a lot of cases it's not clear on how it'll be used unless I read a 100 page TOS or I simply don't trust the company is telling the truth on how it'll be used. I shouldn't feel like I need to diagnose my network traffic with WireShark just to double check a company isn't harvesting usage stats about an app I'm using.
Because they're not asked.
There's a reason that gathering feedback from IVR and web sites is a multi-million dollar industry. It asks people, and they respond.
There's a sports quote about "You miss 100% of the shots you don't take." The tech industry has to learn that it misses out on 100% of the feedback it doesn't ask for.
Hire people specialised in Q&A, send someone over to big customers to observe how people use your product and ask/pay a customer to interview a random selection of the people using the software.
Or just stalk your customers. It doesn't require human interaction, it's cheap, and probably not illegal enough to actually get fined. Who cares about the actual opinions of your customers when you can just interpret some carefully selected dashboards, right?
Data mining is about using the customer as product, not improving yours.