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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighHighHighMedium
Timedifferent
1-5 Tage2-6 h1-4 Wochen45-60 min
Participantsdifferent
4-123-101-62-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanFMEA Table, Risk Priority, Mitigation ActionsExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
ChangeSystems thinkingCapability
RiskQualityOperationsRoot cause
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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