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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Iceberg Model method illustration showing its working structure
Systems Thinking
Iceberg Model
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
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.The Iceberg Model separates visible events from patterns, structures, and mental models. This turns a single observation into a deeper understanding of why a problem keeps recurring.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.
Complexitydifferent
MediumLowHighHigh
Timedifferent
1-3 h30-60 min2-6 h1-4 Wochen
Participantsdifferent
1-52-103-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesIceberg Worksheet, Pattern Notes, Intervention IdeasCurrent Reality Tree, Core Problems, Intervention IdeasExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
Systems thinkingRoot causePatterns
Systems thinkingRoot causeConstraintsCausality
ExperimentsGrowthAnalyticsValidation
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