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Criterion
Iceberg Model method illustration showing its working structure
Systems Thinking
Iceberg Model
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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
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.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.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
LowMediumHighHigh
Timedifferent
30-60 min1-3 h2-6 h1-4 Wochen
Participantsdifferent
2-101-53-81-6
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Iceberg Worksheet, Pattern Notes, Intervention IdeasFunnel report, Drop-off analysis, Optimization hypothesesCurrent Reality Tree, Core Problems, Intervention IdeasExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingRoot causePatterns
AnalyticsConversionGrowth
Systems thinkingRoot causeConstraintsCausality
ExperimentsGrowthAnalyticsValidation
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