Sally Kohn: I've been reading your blog for a really long time and anyone who has spent any time with me at a conference or in the office knows that this is a topic I've really been kind of going deep on and reading pretty widely. So, maybe just tell us a little bit about what you do and your role and then we'll jump into the conversation. She says she focuses on how to create like reusable tools, platforms, capabilities that at least remove some of the pain of making these choices and decisions. But there's a whole bunch of adjacent things you can do to that where, you know, whether you're going through like causal inference or evenreally thoughtful analytics
Have you ever built a data-related "thing" — a dashboard, a data catalog, an experimentation platform, even — only to find that, rather than having the masses race to adopt it and use it on a daily basis, it gets an initial surge in usage… and then quietly dies? That's sorta' the topic of this episode. Except that's a pretty clunky and overly narrow summary. Partly, because it's a hard topic to summarize. But, data as a product and data products are the topic, and Eric Weber, the data scientist behind the From Data to Product newsletter, joined us for a discussion that we've been trying to make happen for months. It was worth the wait! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.