The biggest challenge I see hiring products managers is everyone comes with a different toolkit. And so figuring out how everybody can, I don't know, build a house with a very different toolkit is actually kind of the trick. If you bring in a useful framework or a useful mental model, it doesn't mean that's the only useful mental model,. There can easily be two or three different approaches that are all totally equally valid.
Data gets accessed and used in an organization through a variety of different tools (be they built, bought, or both). That work can be quick and smooth, or it can be tedious and time-consuming. What can make the difference, in modernspeak, is the specifics of the "data products" and "data platforms" being used for those tasks. Those specifics, in turn, often fall on the shoulders of (data) product managers! In this episode, Austin Byrne, Group Product Lead for Data at Canva, joined us for a discussion about the similarities and differences between typical product management and data product management! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.