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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 of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
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.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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
MediumMediumMediumHigh
Timedifferent
1-2 Wochen1-3 h45-90 min1-4 Wochen
Participantsdifferent
1-62-82-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Experiment card, Result summary, Next betIssue Map, Positions, Argument NotesDecision Matrix, Scoring Rationale, Selected OptionExperiment results, Decision log, Learning summary
Tagsno overlap
MarketingGrowthExperimentsLearning
RationaleKnowledgeDecision
DecisionCriteriaScoringTradeoffs
ExperimentsGrowthAnalyticsValidation
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