there’s a special place in heaven for kanban lovers that’s what i always say
there’s a special place in heaven for kanban lovers that’s what i always say
I work in data analysis and reporting on various feedback systems is part of my regular role. Every company’s data culture is different, so you can’t simply say “X is the reason why they’re doing this”. It could be:
What I’ve found is that there are a lot of confounding factors. For example, I work for a job board, and most people use the Overall Satisfaction category as more of a general measurement of how their job search is going, or whether or not they got the interview, rather than an assessment of how well our platform serves that purpose. And it’s usually going very shittily because job searching is a generally shitty process even when everything is going “right”.
It doesn’t need to have a use case. Use cases are for users and our priorities don’t really rank near the top anymore. It’s mostly cargo cult follow-the-leader product management at this point, so it needs to have the latest buzzwords tagged on like blockchain or machine learning or something-as-a-service so investors will get hyped for it and maybe generate some buzz in the tech industry.