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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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 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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
HighHighMediumLow
Timedifferent
Mehrere Wochen1-4 Wochen45-60 min1-5 Tage
Participantsdifferent
2-6 researchers plus sample1-62-8Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk rankingInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
OutcomesInnovationResearchQuantitative
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
ValidationExperimentsDemandGrowth
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