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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Barrier Analysis |  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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. | 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 | 2-4 h | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-6 researchers plus sample | 2-6 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Root causeSafetyIncident | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |