In organizeations, it's almost the opposite. They want to use a i to solve everyting single problem. We used to see quite a lot of resistancend and people not doing it. I think it comes back to those communication skills. You need to know what the data can do, and you need to knows what it can't do. And it's that balance between wanting to use it in a smart waynd, and over using the data anything.
"The people" are often the most valuable asset for a company, so getting the ones who are a good fit, supporting them in their work and their careers, and figuring out what motivates (and demotivates) them is critical. And data—both quantitative and qualitative—can help with that. It's a topic we've wanted to tackle for a long time (well, Moe and Michael have; Tim was confused, as he thought it couldn't be that hard to analyze a data set consisting of a single "Do they do their f***ing job?" boolean flag), and we finally got to it, with Andrew Marritt from OrganizationView! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.