Navigating Prioritization for Netflix's Content Recommendation Engine

Netflix's product team faces a dilemma. The data science team has identified a new algorithm that could enhance content personalization by 15%, but it requires substantial engineering resources. Meanwhile, the marketing team insists on developing a new feature that highlights trending content to drive user engagement, especially in the younger demographic. The finance department is worried about the potential increase in server costs associated with either initiative. You have one product team for a single sprint. How do you prioritize?

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