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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
A structured reflection surfaces what was liked, learned, lacked, and longed for. It is a conversation format and does not validate actions automatically.
Agile
4Ls Retrospective
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.When a sprint should not only be assessed but also learned from, it captures experience in clear learning categories. It records what worked, what's missing, and what should run differently next time.
Complexitydifferent
MediumLowLowLow
Timedifferent
1-3 h1-2 h20-60 min45–75 min
Participantsdifferent
3-82-81Team members involved
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
Bottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresDomain Story, Glossary Notes, Process NarrativePlain-language Explanation, Knowledge Gaps, Study Notes4Ls Board, Learning Themes, Improvement Actions
Tagsno overlap
FlowMeasurementConstraints
KnowledgeDomain-Driven DesignProcess
LearningKnowledgeUnderstanding
RetrospectiveLearningReflectionTeam
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