Definitionv1
Weighted decision matrix: a structured decision-making
Weighted decision matrix: a structured decision-making framework that externalizes priorities by systematically weighting criteria and scoring options across those criteria to make visible the structure of judgment and enable examination of trade-offs rather than replacing intuitive evaluation
Why This Is a Definition
This definition precisely establishes the semantic boundary of 'weighted decision matrix' by identifying its genus (structured decision-making framework) and differentia (systematically weighting criteria and scoring options to externalize priorities and make judgment structure visible). It distinguishes this from a decision machine by explicitly stating it is a 'decision mirror' that enables examination rather than replacing judgment.
Connections
Defines (31)
AxiomCognition Operates Through Dual Processing SystemsPrincipleTreat digital workspace design as cognitive architecturePrincipleLimit capture tools to 2-3 in a deliberate stack (fastPrincipleRoute work to the appropriate agent—human, system, tool, orPrincipleInstrument systems with the minimum number of metrics thatPrincipleWhen multiple changes are made simultaneously,PrincipleWhen designing cognitive agents, examine the full patternPrincipleRetire cognitive agents based on current value productionPrincipleUse the 'five whys' technique on any significant energyPrincipleSelect tools based on how well they integrate with yourPrincipleImplement automatic savings and investment transfers beforePrincipleUse external systems (AI, writing, trusted others) to assessPrincipleRespond to emotional bids (small implicit requests forPrincipleWhen holding more power in a relationship (formal authority,PrincipleBreak work into dimensions and track energy response to eachPrincipleWhen making decisions under cognitive load, time pressure,PrincipleTest value authenticity through sacrifice by examining whatPrinciplePeriodically surface process schemas by extracting embeddedPrincipleAssign decision authority to the lowest level withPrincipleDefine explicit escalation criteria specifying whenPrincipleUse satisficing decision rules (define 'good enough'PrincipleAggregate predictions by confidence level and compare statedPrincipleWhen formal and intuitive schemas produce conflictingPrincipleCalculate your actual prediction accuracy across documentedPrincipleTest each candidate classification dimension by askingPrincipleFor knowledge relationships, separate epistemic confidencePrincipleDesign systems based on Theory Y assumptions (people seekPrincipleApplying a single decision process across structurallyPrincipleDecision deliberation effort should scale withPrincipleWhen two cognitive agents both claim authority over the samePrincipleSpecify every delegation with five components: concrete