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