Is There a Cost to Adding Additional Metrics?

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

Eric: I struggle with like wanting some friction because it's to that point too they're like why just want this to give me the answer. If somebody's waiting into one of these data products and they don't understand some basic intuition around causation and uncertainty where do they have to pick that can the tool add some friction enforced education or is that a totally separate beast? We make you pay for it in the product right you don't get anything free which is arguably pretty heavy handed but the alternative is that people show up with 70 metrics from an experiment which creates tons of chaos and churns world.

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.