<ul><li>Conventional product management followed an idea-first, data-second approach, often resulting in features that missed the mark or didn't make an impact.</li><li>Data-First Thinking flips this model by starting with data to identify customer pain points and then reverse-engineering the roadmap to address them.</li><li>Amazon's 'Working Backwards' and Dropbox's AI integration are examples of successful implementation of data-first thinking in product development.</li><li>To implement data-first thinking, teams should focus on problem-solving, tie every roadmap item to metrics, maintain a hypothesis backlog, embed experimentation, promote data fluency, and quantify qualitative feedback.</li></ul>

Building Products Backward: How Data-First Thinking is Flipping Roadmaps

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