The author discusses the challenges of prioritizing product features based on ambiguous notions of "value" and emphasizes the need for a clear strategy. He proposes two approaches to define value and align stakeholders: using OKRs/goals and focusing on the core problems that need solving. These methods can help facilitate strategic conversations even in the absence of a well-defined product strategy.

Meta's data scientists play a crucial role in shaping product strategy by navigating different scenarios based on data availability and problem clarity. The article outlines four quadrants—Pioneer, Craftsperson, Explorer, and Optimizer—each with distinct approaches for data scientists to drive product strategies effectively, emphasizing collaboration with cross-functional teams and strategic problem-solving.