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Is the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be? While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be? If you lead an internal enterprise data team, have you heard that a ”data product” approach can help—but you’re concerned it’s all hype? My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I share the stories of leaders who are leveraging product and UX design to make SAAS analytics, AI applications, and internal data products indispensable to their customers. After all, you can’t create business value with data if the humans in the loop can’t or won’t use your solutions. Every 2 weeks, I release interviews with experts and impressive people I’ve met who are doing interesting work at the intersection of enterprise software product management, UX design, AI and analytics—work that you need to hear about and from whom I hope you can borrow strategies. I also occasionally record solo episodes on applying UI/UX design strategies to data products—so you and your team can unlock financial value by making your users’ and customers’ lives better. Hashtag: #ExperiencingData. JOIN MY INSIGHTS LIST FOR 1-PAGE EPISODE SUMMARIES, TRANSCRIPTS, AND FREE UX STRATEGY TIPS https://designingforanalytics.com/ed ABOUT THE HOST, BRIAN T. O’NEILL: https://designingforanalytics.com/bio/
Episodes
Tuesday Oct 31, 2023
Tuesday Oct 31, 2023
Today I’m joined by Marnix van de Stolpe, Product Owner at Coolblue in the area of data science. Throughout our conversation, Marnix shares the story of how he joined a data science team that was developing a solution that was too focused on the delivery of a data-science metric that was not on track to solve a clear customer problem. We discuss how Marnix came to the difficult decision to throw out 18 months of data science work, what it was like to switch to a human-centered, product approach, and the challenges that came with it. Marnix shares the impact this decision had on his team and the stakeholders involved, as well as the impact on his personal career and the advice he would give to others who find themselves in the same position. Marnix is also a Founding Member of the Data Product Leadership Community and will be going much more into the details and his experience live on Zoom on November 16 @ 2pm ET for members.
Highlights/ Skip to:
- I introduce Marnix, Product Owner at Coolblue and one of the original members of the Data Product Leadership Community (00:35)
- Marnix describes what Coolblue does and his role there (01:20)
- Why and how Marnix decided to throw away 18 months of machine learning work (02:51)
- How Marnix determined that the KPI (metric) being created wasn’t enough to deliver a valuable product (07:56)
- Marnix describes the conversation with his data science team on mapping the solution back to the desired outcome (11:57)
- What the culture is like at Coolblue now when developing data products (17:17)
- Marnix’s advice for data product managers who are coming into an environment where existing work is not tied to a desired outcome (18:43)
- Marnix and I discuss why data literacy is not the solution to making more impactful data products (21:00)
- The impact that Marnix’s human-centered approach to data product development has had on the stakeholders at Coolblue (24:54)
- Marnix shares the ultimate outcome of the product his team was developing to measure product returns (31:05)
- How you can get in touch with Marnix (33:45)
Links
- Coolblue: https://www.coolblue.nl
- LinkedIn: https://www.linkedin.com/in/marnixvdstolpe/
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