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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighHighHighLow
Timedifferent
1-5 Tage2-6 h1-4 Wochen1-5 Tage
Participantsdifferent
4-123-81-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanCurrent Reality Tree, Core Problems, Intervention IdeasExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ChangeSystems thinkingCapability
Systems thinkingRoot causeConstraintsCausality
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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