This article discusses the challenges of prioritizing projects within AI teams, particularly when the goal is to drive metric growth and generate revenue. The author shares personal experiences and mistakes made when trying to apply traditional prioritization frameworks like ICE or WSJF, deeming them ineffective in the high-entropy environment of AI development. Instead, the piece proposes a new framework to guide AI teams in selecting and executing projects that align with their business objectives. AI
影响 Provides a framework for AI teams to better select and execute revenue-generating projects, potentially improving efficiency and focus.
排序理由 The article discusses project prioritization frameworks for AI teams, offering personal insights and a proposed framework, which falls under commentary on management practices.
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