Decisions Your Data Can’t Make: The Perils of Radicalized Data Driven Thinking

1. 1Recognize the limitations of data-driven thinking in high-leverage situations
2. 2Identify situations where data may not be sufficient to make a decision
3. 3Develop intuition and experience to complement data-driven thinking
4. 4Practice balancing data with intuition and experience in decision-making
5. 5Evaluate the outcomes of decisions made with a balanced approach

Data scientists, product managers, and business leaders can benefit from understanding the limitations of data-driven thinking and learning to balance it with intuition and experience to make better decisions.

💡 The highest-leverage decisions are often the least defensible ones, until they work, and over-reliance on evidence can produce systematically worse decisions.

💡 Over-reliance on data can lead to poor decisions. Balance data with intuition and experience for better outcomes.