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| Criterion |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Evaporating Cloud |  Product Discovery Smoke Test |  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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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 | High | Medium | Low | High |
Timedifferent | Mehrere Wochen | 60-120 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Theory of ConstraintsAssumptionsSystems thinking | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |