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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Architecture Communication Canvas method illustration showing its working structure
Architecture
Architecture Communication Canvas
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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.The Architecture Communication Canvas plans architecture communication so the right people receive the right message. The method turns technical complexity into deliberate communication design.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
MediumMediumMediumHigh
Timedifferent
1-3 h30-90 min60-120 min1-4 Wochen
Participantsdifferent
1-51-62-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesDecision Tree, Option Map, Assumption ListCommunication Canvas, Stakeholder Messages, Architecture Communication PlanExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
DecisionTreeOptions
ArchitectureCommunicationStakeholdersCanvas
ExperimentsGrowthAnalyticsValidation
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