Typical recommendation
A recommendation that hides its criteria is difficult to trust and difficult to reopen.
compare
Not another untested score.
A number is not a Decision if you cannot see what produced it.
Not another untested score.
Typical scorecard
- assigns numbers to options
- leaves the source of each number implicit
- can hide assumptions inside a cell
- rarely records what would change the result
- treats the total as the decision
Argumont
- uses decision-specific criteria
- keeps claims attached to the score
- marks unverified assumptions
- states what could change the Verdict
- leaves the final Decision with you
The difference
Argumont uses decision-specific criteria, keeps unverified assumptions visible, and leaves the final Decision with you.
The Verdict is not the Decision
Argumont provides analytical judgment. You remain responsible for the final Decision.
Related pages
Typical decision matrix
Named criteria and scores are the right skeleton. A cell still needs to say whether it is evidence or an assumption.
Decision Scoring
Argumont creates decision-specific criteria and explicit weights rather than applying one generic scoring framework to every problem.
Weighted scoring
A score without weights is a vibe with arithmetic. Weighted scoring forces you to say what matters before you fall in love with an option.
How It Works
Argumont turns an uncertain decision into a structured analytical process. Decision intelligence is the analytical capability. Decision infrastructure is the sy...
Compare
These pages compare Argumont with typical tools people already use. They describe the job, not invented competitor scores.
Start a Decision
Argumont challenges assumptions, researches evidence, compares competing approaches, and produces an inspectable verdict. You keep the final decision.
Start a Decision