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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for DACI
Decision Making
DACI
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.
Complexitydifferent
LowLowLowMedium
Timedifferent
20-60 min30-60 min30-90 min30-90 min
Participantsdifferent
12-102-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesDACI Matrix, Decision Owner, Decision LogConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDecision Tree, Option Map, Assumption List
Tagsno overlap
LearningKnowledgeUnderstanding
DecisionRolesGovernanceAlignment
ConstraintsDecisionPlanningOptions
DecisionTreeOptions
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