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Criterion
How Might We
Innovation
How Might We
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
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.IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus.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 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.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
30–45 min1-3 h30-90 min1-3 h
Participantsdifferent
1-102-81-61-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsIssue Map, Positions, Argument NotesDecision Tree, Option Map, Assumption ListArgument Map, Evidence Gaps, Decision Rationale
Tagsno overlap
FramingOpportunityIdeationQuestions
RationaleKnowledgeDecision
DecisionTreeOptions
SensemakingDecisionRationale
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