The related problem that I see actually more often is the "you don't have big data" problem. You know, in data science, you see people spending hours writing pandas scripts that replicate a few clicks in excel for a one of analysis. You see datasets of a few gigabytes being processed with spark when SQL would be fine. You see ML techniques being thrown at questions that could be answered simply and reliably with basi…
Talking to people is not going to help you either. You end up getting a lot of noise and making sense of what you hear is difficult. When you keep probing you will get to hear stuff thats not really critical and just often made up because you ask too many questions. Classical trap of market research.
I mean I worked on an app where in one part, the end user could upload CSV files to be used. What they SAID they wanted was basically a full data management system and RESTful API to enforce constraints, data validation, record retrieval and updating, etc. What they probably wanted was an excel sheet. I dislike how my employer was like "yeah sure if you pay for it" to them.