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Criterion
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Purposedifferent
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.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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
MediumHighMediumMedium
Timedifferent
1-3 h1-4 Wochen30-90 min1-3 h
Participantsdifferent
2-86-30 Experten1-61-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Issue Map, Positions, Argument NotesExpert Forecast, Consensus Range, Assumption NotesDecision Tree, Option Map, Assumption ListArgument Map, Evidence Gaps, Decision Rationale
Tags1 shared
RationaleKnowledgeDecision
ForecastingExpertsDecisionStrategy
DecisionTreeOptions
SensemakingDecisionRationale
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