Yet another case study of an organization deciding to get serious about their diversity issues and actually moving the needle. How?! Start with data, but then also (and here's the magic part) have the will to make changes based on the data. Crazy, right?

Anyone who has ever worked with sales and marketing teams knows how embedded data is in everything they do: how to collect it, how to make decisions with it, etc. And yet, data isn't really a core part of TA/Recruiting culture. Sure, we know our pipeline and TTF numbers, but that's just simple outcomes. I'm always thrown by how hard it is to get TA teams to think with data, but that's because the industry doesn't have a culture of using it. And if no one else in TA is using it, it's a great excuse to not use it. So if you're ready to change that culture, HBR has some good ideas.

I loved this article on how "combinatorics" (that term had to have been invented by an MBA with a math background) can help find tune your value proposition. If you ignore the jargon, there's a heck of pitch here: because you don't really understand what your talent prospects want (because you haven't tightened your focus enough), you can't differentiate.

I'll admit that I started reading this article on how data can help make remote teams work better to see what kind of data they were looking at, but it's really a different article. The premise is that if you give your staff more of the data/context/info on how leadership makes its decisions, other staff will likely make similar decisions, Further, with that info, they can do better work with less oversight, thus supporting a more remote work space. Why should I care? Because this is a great way to show a candidate what you mean by "we give people lots of opportunity" or "we empower our staff," both of which are functionally meaningless. But talking about how much data and info you share internally to support this claims makes those brand claims infantely more believable, credible and clear.

So, if you entitle your article ’7 Ways HR Can Build a Fairer, Data-Informed Culture,’ you are really asking for hurt. You know how I know? Because I have a brother and growing up, we each had a vastly difference sense of what 'fair’ meant. I have to imagine in your average 1,000-person company, you’ll be seeing dozens if not hundreds of definitions of same. It’s a tarpit, one which the article seems to acknowledge before skipping past it.