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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
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 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.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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
20-60 min1 h bis mehrere Wochen45-60 min1-4 Wochen
Participantsdifferent
11-82-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
LearningKnowledgeUnderstanding
Continuous improvementLeanExperiments
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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