I
Evidence before opinion.
Experience and judgment remain essential, but important decisions should make assumptions, evidence, uncertainty, and disagreement visible.
Principles
The principles behind better decisions.
Decision Engineering is built on a simple belief: important decisions should not depend on accident, hierarchy, or unexamined intuition.
II
Systems before intuition.
Decision quality is not only a characteristic of individuals. It is shaped by the system in which people decide.
III
Clarity before complexity.
Complex decisions require depth, but complexity should never become an excuse for unclear authority, vague reasoning, or inaccessible information.
IV
Learning before certainty.
Organizations cannot eliminate uncertainty. They can design faster and more disciplined learning.
V
Judgment before automation.
Artificial intelligence should improve the quality and accessibility of evidence without removing human accountability from consequential decisions.
VI
Accountability before consensus.
Participation matters, but decisions require explicit ownership and visible responsibility.
VII
Decision quality before outcome bias.
A decision must be evaluated based on the quality of the process and the evidence available at the time, not only on whether the eventual outcome was favorable.
VIII
Improvement before repetition.
Every important decision should strengthen the organization's ability to make the next one.
Better decisions create better organizations.