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Criterion
How Might We
Innovation
How Might We
Paper illustration for Cynefin Workshop.
Decision Making
Cynefin Workshop
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
With a stuck problem carrying many implicit assumptions, the method translates observations into open, workable questions. It sharpens the problem frame without pre-thinking the solution, turning frustration or fuzziness into a search space with clear direction.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.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
LowMediumMedium
Timedifferent
30–45 min60-180 min30-90 min
Participantsdifferent
1-104-201-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsCynefin Map, Domain-specific Actions, Sensemaking NotesDecision Tree, Option Map, Assumption List
Tagsno overlap
FramingOpportunityIdeationQuestions
ComplexitySensemakingDecision
DecisionTreeOptions
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Impact Filter
Decision Making
Impact Filter
Paper illustration of many question cards around one challenge
Facilitation
Question Burst