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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Paper illustration for Cynefin Workshop.
Decision Making
Cynefin Workshop
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
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.On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic.When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.
Complexitysame
MediumMediumMediumMedium
Timedifferent
30-90 min15-45 min60-180 min1-3 h
Participantsdifferent
1-61-84-201-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListPERT Estimate, Expected Value, Risk NotesCynefin Map, Domain-specific Actions, Sensemaking NotesArgument Map, Evidence Gaps, Decision Rationale
Tagsno overlap
DecisionTreeOptions
EstimationUncertaintyRisk
ComplexitySensemakingDecision
SensemakingDecisionRationale
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