Decision Universa
Decision Universa strengthens decision quality by increasing clarity, traceability, and structured evaluation—while preserving user autonomy.
Decision Universa helps people make better decisions, and to improve their decision making process over time. It does this by “unbundling” decisions into their discrete parts, as most decisions involvle multiple factors and tradeoffs. By formalizing and structuring decisions it makes them more amenable to Ai analysis, but ultimately each individual must decide for themselves. Decision does not make recommendations, it helps users think through the issues more clearly.
Frequently Asked Questions
No. Decision Universa is designed to improve decision quality, not replace human judgment. The system helps users structure complex decisions, evaluate tradeoffs, identify assumptions, and document reasoning, while preserving individual autonomy and responsibility for the final choice.
A Decision Dossier is a structured record of how a decision was made. It can capture objectives, assumptions, alternatives considered, risks, outcomes, and lessons learned. Over time, these records help users identify patterns, improve decision-making processes, and build institutional or personal knowledge.
Many decisions are not simply about choosing the best option; they are about understanding what is being given up and how difficult it will be to change course later. Decision Universa helps users evaluate tradeoffs, preserve flexibility where appropriate, and better understand the long-term consequences of their choices.
The Decision Thoroughness Index (DTI) measures how extensively a decision was evaluated. Rather than judging whether a decision was right or wrong, it assesses factors such as alternatives considered, evidence reviewed, assumptions documented, and analytical effort applied. This creates a structured way to improve decision quality over time.