I think we must to get found data be thinking about events in nan h a system. Just because you're legally responsible for doing it, doesn't mean you should do it. If i ask a text question such as, what could we do to improve customer experience, we'll get really good quality data. And especially on the ambiguous statements, that context is is really, really important. There's a big day to set. I feel like i want to ask it.
"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.