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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Risk Storming.
Architecture
Risk Storming
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog.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 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
HighLowHighLow
Timedifferent
Mehrere Wochen60-90 min1-4 Wochen1-5 Tage
Participantsdifferent
2-6 researchers plus sample4-121-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesAnnotated Diagram, Prioritized Risk List, Action BacklogExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
OutcomesInnovationResearchQuantitative
RiskArchitectureWorkshopValidation
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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