thinking-in-bets

What problem does it solve?

Thinking in Bets helps improve decision quality by separating the quality of a decision from its outcome. It applies probabilistic thinking to situations with uncertainty, reducing bias and enabling teams to act on process rather than luck.

Core Features & Use Cases

• Decision quality focus: evaluate decisions by process, not luck.
• Independent opinions & foresight: collect input before discussion to avoid anchoring.
• Managing uncertainty: calibrate probabilities, use kill criteria, pre-mortems with actions.
• Use Case: For product strategy decisions, you forecast outcomes with probabilities and test signals.

Quick Start

Use Thinking in Bets to structure a current decision by listing known uncertainties, assigning probability ranges, and documenting kill criteria for early signals.