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Criterion
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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.When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.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.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.
Complexitydifferent
MediumMediumMediumHigh
Timedifferent
1-3 hOngoing1-3 h30-90 min Setup, danach laufend
Participantsdifferent
1-82-122-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Argument Map, Evidence Gaps, Decision RationaleKanban board, WIP policies, Flow metricsIssue Map, Positions, Argument NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
SensemakingDecisionRationale
FlowVisual managementDelivery
RationaleKnowledgeDecision
ForecastingFlowDelivery
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