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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Three Horizons with its method-specific working model.
Business Strategy
Three Horizons
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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.Three Horizons helps clarify strategic options across different timeframes. It compares strengths, risks, market logic, and investment choices, and captures the result as a horizon map, portfolio view, and initiatives per horizon.Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighMediumHighLow
Timedifferent
1-4 WochenHalbtags-Workshop, dann iterativMehrere Wochen1-5 Tage
Participantsdifferent
1-63-122-6 researchers plus sampleNutzertraffic
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryHorizon map, Portfolio view, Initiatives per horizon, Resource planDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
StrategyInnovationPortfolioForesight
OutcomesInnovationResearchQuantitative
ValidationExperimentsDemandGrowth
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