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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 of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitysame
LowLowLowLow
Timedifferent
1-2 h45-90 min20-60 min1-2 h
Participantsdifferent
2-83-1212-8
Formatdifferent
WorkshopWorkshopAsyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeForce Field Map, Change Levers, Risk NotesPlain-language Explanation, Knowledge Gaps, Study NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
ChangeDecisionStrategy
LearningKnowledgeUnderstanding
StrategyDecisionAssumptionsHypothesis
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