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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Purposedifferent
Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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.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.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
1-2 h1-3 h30-90 min1-3 h
Participantsdifferent
2-83-81-62-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresDecision Tree, Option Map, Assumption ListIssue Map, Positions, Argument Notes
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
FlowMeasurementConstraints
DecisionTreeOptions
RationaleKnowledgeDecision
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