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Criterion
Iceberg Model method illustration showing its working structure
Systems Thinking
Iceberg Model
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
LowLowMediumHigh
Timedifferent
30-60 min20–45 min45-60 min1-4 Wochen
Participantsdifferent
2-10Small cross-functional group2-81-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Iceberg Worksheet, Pattern Notes, Intervention IdeasRisk list, Mitigation plan, Assumption logAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingRoot causePatterns
RiskDecisionFailurePlanning
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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