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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.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 Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.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.
Complexitydifferent
MediumHighHighHigh
Timedifferent
1-3 h1-5 Tage2-4 h1-4 Wochen
Participantsdifferent
1-54-123-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesLogic Model, Change Objectives, Intervention Components, Evaluation PlanFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
ChangeSystems thinkingCapability
Theory of ConstraintsSystems thinkingChange
ExperimentsGrowthAnalyticsValidation
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