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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Surveys method illustration showing its working structure
UX Research
Surveys
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
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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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
HighMediumHighLow
Timedifferent
1-5 Tage3-14 Tage1-4 Wochen1-2 h
Participantsdifferent
4-1250+6-30 Experten2-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanSurvey Results, Charts, Segment InsightsExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ChangeSystems thinkingCapability
QuantitativeResearchValidation
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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