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Criterion
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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
Purposedifferent
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.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.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
1-3 h30-90 min Setup, danach laufend1-3 h1-4 Wochen
Participantsdifferent
1-81-82-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Argument Map, Evidence Gaps, Decision RationaleForecast Percentiles, Throughput Dataset, Risk CommunicationIssue Map, Positions, Argument NotesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
SensemakingDecisionRationale
ForecastingFlowDelivery
RationaleKnowledgeDecision
ForecastingExpertsDecisionStrategy
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