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Criterion
Gap Analysis method illustration showing its working structure
Business Strategy
GAP Analysis
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
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
GAP Analysis compares the current state with a target picture and makes the distance manageable. It becomes useful when, ahead of new initiatives, it must become clear which capabilities, processes, or resources are missing.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 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
MediumMediumMediumHigh
Timedifferent
1-3 h1-2 Wochen45-60 min1-4 Wochen
Participantsdifferent
2-81-62-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Gap Matrix, Action Plan, Risk NotesExperiment card, Result summary, Next betAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
StrategyAnalysisPlanning
MarketingGrowthExperimentsLearning
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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