129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue
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/
Om Podcasten
Are you an enterprise data or product leader seeking to increase the user adoption and business value of your ML/AI and analytical data products?
While it is easier than ever to create ML and analytics from a technology perspective, do you find that getting users to use, buyers to buy, and stakeholders to make informed decisions with data remains challenging?
If you lead an enterprise data team, have you heard that a ”data product” approach can help—but you’re not sure what that means, or whether software product management and UX design principles can really change consumption of ML and analytics?
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 product designer’s perspective on why simply creating ML models and analytics dashboards aren’t sufficient to routinely produce outcomes for your users, customers, and stakeholders. My goal is to help you design more useful, usable, and delightful data products by better understanding your users, customers, and business sponsor’s needs. After all, you can’t produce business value with data if the humans in the loop can’t or won’t use your solutions.
Every 2 weeks, I release solo episodes and interviews with chief data officers, data product management leaders, and top UX design and research professionals working at the intersection of ML/AI, analytics, design and product—and now, I’m inviting you to join the #ExperiencingData listenership.
Transcripts, 1-page summaries and quotes available at: https://designingforanalytics.com/ed
ABOUT THE HOST
Brian T. O’Neill is the Founder and Principal of Designing for Analytics, an independent consultancy helping technology leaders turn their data into valuable data products. He is also the founder of The Data Product Leadership Community. For over 25 years, he has worked with companies including DellEMC, Tripadvisor, Fidelity, NetApp, Roche, Abbvie, and several SAAS startups. He has spoken internationally, giving talks at O’Reilly Strata, Enterprise Data World, the International Institute for Analytics Symposium, Predictive Analytics World, and Boston College. Brian also hosts the highly-rated podcast Experiencing Data, advises students in MIT’s Sandbox Innovation Fund and has been published by O’Reilly Media. He is also a professional percussionist who has backed up artists like The Who and Donna Summer, and he’s graced the stages of Carnegie Hall and The Kennedy Center.
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