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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
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.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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.
Complexitydifferent
HighLowHighLow
Timedifferent
1-5 Tage1-2 h1-4 Wochen45-90 min
Participantsdifferent
4-122-81-63-12
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanDIBB document, Belief list, Bet list, Learning reportExperiment results, Decision log, Learning summaryForce Field Map, Change Levers, Risk Notes
Tagsno overlap
ChangeSystems thinkingCapability
StrategyDecisionAssumptionsHypothesis
ExperimentsGrowthAnalyticsValidation
ChangeDecisionStrategy
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