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| Criterion |  Product Discovery Smoke Test |  Innovation Design Thinking |  Innovation Design Sprint |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | Low | High | High | High |
Timedifferent | 1-5 Tage | 1 Tag bis mehrere Wochen | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 4-10 | 5-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation |