Decisions
What must be chosen now, by whom, and what should the next decision learn?
A decision converts understanding into commitment. It names the chosen move, authority, accepted loss, prediction, proof, review point, and stop condition. A good outcome does not rescue weak judgment, and a bad outcome does not alone prove the decision was wrong.
The Spine
- Navigate one decision — frame the choice, bounds, proof, review, and stop condition.
- Choose the algorithm — match the method to time, uncertainty, reversibility, and feedback.
- Record the trace — retain evidence, options, prediction, dissent, and review.
- Make the next judgment wiser — connect the choice to action, outcome, and evaluated precedent.
Zoom Out
The Journey does not optimise for more decisions. It uses Navigation to turn one authorised decision into bounded action and evidence that improves later judgment.
Changes my mind: a consequential decision can compound learning without an owner, prediction, review point, or retained variance.
Context
- depends-on Questioning System — provide the uncertainty and evidence that changed the choice.
- depends-on Purpose — preserve the beneficiary, value setpoint, and human authority boundary.
- applies-to Navigation — execute the commitment as a bounded, observable correction.
- applies-to Strategic Decision Graph — retain the trace and test whether it improves later judgment.
- proved-by Reality — compare the prediction with observed beneficiary evidence.
- depends-on Problems — commit against a diagnosed gap rather than an untested solution.
- applies-to Business Strategy — turn a strategic bet into an authorised allocation and accepted loss.
- risk-governed-by The Critical Path — protect the work whose delay governs the outcome.
Questions
Next question: what evidence and review point will return this commitment to judgment?
- What loss does this choice accept?
- Which value, consent boundary, or irreversible consequence remains human-owned?