Product Is All About Iterative Process

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Data folks are so obsessed with this idea of like a stakeholder is asked for a dashboard and then we're gonna build the most perfect dashboard it's gonna have all 42 metrics they want by five different filters. Product should be about iteration you build them the skateboard first so you say what are the five most important metrics you build that firstYou go back you check they're using it are they still using it great you add another six or whatever the case is right but I think there's still there's a level of if like detecting things that aren't being used.

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.