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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 Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.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.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.
Complexitydifferent
LowHighHighLow
Timedifferent
1-2 hHalf day1-4 Wochen1-2 h
Participantsdifferent
2-83-126-30 Experten2-8
Formatdifferent
WorkshopWorkshopAsyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeLeverage Map, Action StrategyExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
Systems thinkingChangeStrategy
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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