In product management, like customer's king, the difference between your colleagues needing a piece of technology to get their job done versus your customer is asking for a feature. Often there is more of like a daisy chain of attribution that has to happen when you go from building something for your colleagues who then use that to build something for your end users. Usually platform PMs spend a lot more time on the technical side. They understand the technology that powers what your colleagues want and need more so than on the product management side. The research involved, the discovery processes, how you align on the roadmap, all that kind of stuff.
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.