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Criterion
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
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
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Purposedifferent
When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.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.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.
Complexitydifferent
LowMediumMediumLow
Timedifferent
30-120 min30-90 min1-3 h1-2 h
Participantsdifferent
2-61-62-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Observation Notes, Improvement IdeasDecision Tree, Option Map, Assumption ListIssue Map, Positions, Argument NotesDomain Story, Glossary Notes, Process Narrative
Tagsno overlap
LeanObservationProcessOperations
DecisionTreeOptions
RationaleKnowledgeDecision
KnowledgeDomain-Driven DesignProcess
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