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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
HighMediumHighLow
Timedifferent
1-5 Tage1-3 h1-4 Wochen30-60 min
Participantsdifferent
4-121-51-61-5
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
ChangeSystems thinkingCapability
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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