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Criterion
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus.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.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
MediumMediumLowHigh
Timedifferent
1-2 Wochen1-3 h20-60 min1-4 Wochen
Participantsdifferent
1-62-811-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Experiment card, Result summary, Next betIssue Map, Positions, Argument NotesPlain-language Explanation, Knowledge Gaps, Study NotesExperiment results, Decision log, Learning summary
Tagsno overlap
MarketingGrowthExperimentsLearning
RationaleKnowledgeDecision
LearningKnowledgeUnderstanding
ExperimentsGrowthAnalyticsValidation
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