No matter how good of a product you create there are still going to be plenty of people willing to use it wrong. A lot of people when they sit down to like do these exercises don't think or they don't really put their product management hat on which I kind of think is what we're talking about a lot. People probably have some preconceived narrative of what's true and what's not and it's really hard to disrupt the narrative that people have mostly decided to operate by.
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.