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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
Paper matrix with six colored hat cards for information, feeling, value, caution, ideas and process control.
Facilitation
Six Thinking Hats
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.When a topic gets stuck too quickly in the same thinking mode, Six Thinking Hats deliberately separates the perspectives. This means facts, risks, creativity, and emotional signals get worked through one after another instead of mixed 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.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
1-2 h1-3 h45-90 min30-90 min
Participantsdifferent
2-83-84-121-6
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresPerspective Notes, Decision Inputs, Action ItemsDecision Tree, Option Map, Assumption List
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
FlowMeasurementConstraints
FacilitationOptionsDecision
DecisionTreeOptions
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