WHY DATA-DRIVEN PRODUCT DECISIONS ARE HARD

Summary from the TLDR Founders newsletter

Product teams often encounter numerous challenges and limitations that can hinder their progress in the pursuit of data-driven decision-making. While data is meant to provide objective insights, in practice, it can lead to analysis paralysis, measuring the wrong metrics, and relying on historical data that may not predict future trends. Despite these limitations, there are situations where intuition and fast decision-making can be more effective than being purely data-driven, especially for startups competing against established tech giants.