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Criterion
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.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.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.
Complexitydifferent
LowLowLowHigh
Timedifferent
20-45 min20-60 min1-2 h1-4 Wochen
Participantsdifferent
3-1212-86-30 Experten
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Lessons learned, Action items, Event summaryPlain-language Explanation, Knowledge Gaps, Study NotesDIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
LearningOperationsImprovement
LearningKnowledgeUnderstanding
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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