Understanding User Needs
Brian emphasizes the importance of digging deeper into stakeholder requests to uncover the real issues they face, rather than simply delivering what they think they want. He highlights the necessity of a diverse team in data product development, including a data scientist, to ensure that solutions address genuine problems. By asking how users will act on the data provided, teams can create more effective and predictive tools.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
658: How to Build Data and ML Products Users Love — with Brian T. O'Neill
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