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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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 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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.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
20-60 min1-4 Wochen2-4 h1-2 h
Participantsdifferent
16-30 Experten3-82-8
Formatdifferent
AsyncAsyncWorkshopWorkshop + async
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesExpert Forecast, Consensus Range, Assumption NotesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
LearningKnowledgeUnderstanding
ForecastingExpertsDecisionStrategy
Theory of ConstraintsSystems thinkingChange
StrategyDecisionAssumptionsHypothesis
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