Designing Data Products
Understanding user needs is crucial for successful data products, as many fail due to a lack of clarity around the problems being solved. Collaboration among data product managers, UX designers, software engineers, and data scientists creates a powerful team capable of delivering value. By simulating user interactions with realistic data, teams can uncover deeper insights into what users truly desire, ultimately leading to more effective and impactful data solutions.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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