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Criterion
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
Purposedifferent
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.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.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.Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations.
Complexitydifferent
MediumLowLowLow
Timedifferent
1-3 h1-2 h20-60 min5-20 min
Participantsdifferent
3-82-812-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Bottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresDomain Story, Glossary Notes, Process NarrativePlain-language Explanation, Knowledge Gaps, Study NotesUnderstanding Check, Clarification Notes, Learning Gaps
Tagsno overlap
FlowMeasurementConstraints
KnowledgeDomain-Driven DesignProcess
LearningKnowledgeUnderstanding
LearningUnderstandingCommunication
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