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| Criterion |  Innovation Design Thinking |  Product Discovery Smoke Test |  Operations Barrier Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. | 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 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 | Low | Medium | High |
Timedifferent | 1 Tag bis mehrere Wochen | 1-5 Tage | 2-4 h | 1-4 Wochen |
Participantsdifferent | 4-10 | Nutzertraffic | 2-6 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Interest Metrics, Conversion Signal, Learning Note | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | InnovationPrototypeResearch | ValidationExperimentsDemandGrowth | Root causeSafetyIncident | ExperimentsGrowthAnalyticsValidation |