Are You Getting the Right Insights?

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

You need to conduct your own user research right and and drive into not just sort of like you know oh yeah this will give you insights but what insights are you getting. What are the top five actions you're taking or if you had this what would that enable for you? This is pretty explicit be like limit the number of metrics they can look at intentionally because we want them to like force that question of like what is important to us and it has to come at the expense of something else in essence I tried to spread it out a little bit okay if you don't want to go there with me well use google data studio mode mode whatever you name.

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.