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If you’re a leader tasked with generating business and org. value through ML/AI and analytics, you’ve probably struggled with low user adoption. Making the tech gets easier, but getting users to use, and buyers to buy, remains difficult—but you’ve heard a ”data product” approach can help. Can it? My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I offer you a consulting designer’s perspective on why creating ML and analytics outputs isn’t enough to create business and UX outcomes. How can UX design and product management help you create innovative ML/AI and analytical data products? What exactly are data products—and how can data product management help you increase user adoption of ML/analytics—so that stakeholders can finally see the business value of your data? Every 2 weeks, I answer these questions via solo episodes and interviews with innovative chief data officers, data product management leaders, and top UX professionals. Hashtag: #ExperiencingData. PODCAST HOMEPAGE: Get 1-page summaries, text transcripts, and join my Insights mailing list: 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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