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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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.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.The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.
Complexitydifferent
LowHighLowMedium
Timedifferent
1-2 h1-4 Wochen20-60 min15-60 min je Zyklus
Participantsdifferent
2-86-30 Experten11-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeExpert Forecast, Consensus Range, Assumption NotesPlain-language Explanation, Knowledge Gaps, Study NotesSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
ForecastingExpertsDecisionStrategy
LearningKnowledgeUnderstanding
DecisionChangeLearningStrategy
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