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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration of Double Diamond with its method-specific working model.
Innovation
Double Diamond
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement.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.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
HighMediumLowHigh
Timedifferent
Mehrere WochenWochen bis Monate1-5 Tage1-4 Wochen
Participantsdifferent
2-6 researchers plus sample3-12Nutzertraffic1-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesProblem Statement, Solution Options, Prototypes, Deliverables per PhaseInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
OutcomesInnovationResearchQuantitative
ProcessDivergenceInnovation
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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