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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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
20-60 min20–45 min1-2 Wochen1-4 Wochen
Participantsdifferent
1Small cross-functional group1-61-6
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesRisk list, Mitigation plan, Assumption logExperiment card, Result summary, Next betExperiment results, Decision log, Learning summary
Tagsno overlap
LearningKnowledgeUnderstanding
RiskDecisionFailurePlanning
MarketingGrowthExperimentsLearning
ExperimentsGrowthAnalyticsValidation
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