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Criterion
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
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.Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain.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
5-20 min1-5 Tage1-4 Wochen1-2 h
Participantsdifferent
2-84-126-30 Experten2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Understanding Check, Clarification Notes, Learning GapsLogic Model, Change Objectives, Intervention Components, Evaluation PlanExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
LearningUnderstandingCommunication
ChangeSystems thinkingCapability
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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