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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Purposedifferent
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.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.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 early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.
Complexitydifferent
MediumLowLowLow
Timedifferent
30-90 min30-90 min20-60 min20–45 min
Participantsdifferent
1-62-81Small cross-functional group
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesPlain-language Explanation, Knowledge Gaps, Study NotesRisk list, Mitigation plan, Assumption log
Tagsno overlap
DecisionTreeOptions
ConstraintsDecisionPlanningOptions
LearningKnowledgeUnderstanding
RiskDecisionFailurePlanning
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