Sally Kohn: I think it's worth having to think about survey, and a survey what it does. She says asking one question and get one openin question iis going to give you richer information than asking a bunch of drop down selects. And then, kind of combining with that, are you slicing it base, basically, whether warehouse work er versus executive? But are you also slicing by race and gender and other factors? Like, how do you actually analyze that here?Kohn: Let me, let me stort from h beginning. So, the the scale questions of based on some form of model of what they want to understand about. It's often from engagement perspective
"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.