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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 for Fake Door Test
Product Discovery
Fake Door 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.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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
HighMediumHighMedium
Timedifferent
1-5 Tage1-3 h1-4 Wochen1-5 Tage
Participantsdifferent
4-121-51-6Nutzertraffic
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tagsno overlap
ChangeSystems thinkingCapability
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
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