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Criterion
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
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
Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations.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
LowHighLow
Timedifferent
5-20 min1-4 Wochen1-2 h
Participantsdifferent
2-86-30 Experten2-8
Formatdifferent
Workshop + asyncAsyncWorkshop + async
Outputdifferent
Understanding Check, Clarification Notes, Learning GapsExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
LearningUnderstandingCommunication
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis