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| Criterion |  Growth A/B Testing |  Innovation Double Diamond |  Innovation Design Sprint |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 1-4 Wochen | Wochen bis Monate | 4-5 Tage | 1-5 Tage |
Participantsdifferent | 1-6 | 3-12 | 5-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Prototype, Test Findings, Decision Rationale | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ProcessDivergenceInnovation | Design sprintPrototypeValidationInnovation | ValidationExperimentsDemandGrowth |