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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
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 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.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.
Complexitydifferent
LowLowHighMedium
Timedifferent
20-60 min20–45 min1-4 Wochen1-2 Wochen
Participantsdifferent
1Small cross-functional group1-61-6
Formatdifferent
AsyncWorkshopAsyncWorkshop + async
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesRisk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryExperiment card, Result summary, Next bet
Tagsno overlap
LearningKnowledgeUnderstanding
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
MarketingGrowthExperimentsLearning
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