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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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 min30-90 min1-2 h30-90 min
Participantsdifferent
12-82-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDIBB document, Belief list, Bet list, Learning reportDecision Tree, Option Map, Assumption List
Tagsno overlap
LearningKnowledgeUnderstanding
ConstraintsDecisionPlanningOptions
StrategyDecisionAssumptionsHypothesis
DecisionTreeOptions
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