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内容由Brian T. O’Neill from Designing for Analytics提供。所有播客内容(包括剧集、图形和播客描述)均由 Brian T. O’Neill from Designing for Analytics 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue

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Manage episode 381459188 series 2527129
内容由Brian T. O’Neill from Designing for Analytics提供。所有播客内容(包括剧集、图形和播客描述)均由 Brian T. O’Neill from Designing for Analytics 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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
  continue reading

113集单集

Artwork
icon分享
 
Manage episode 381459188 series 2527129
内容由Brian T. O’Neill from Designing for Analytics提供。所有播客内容(包括剧集、图形和播客描述)均由 Brian T. O’Neill from Designing for Analytics 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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
  continue reading

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