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| Criterion |  Innovation Design Sprint |  Operations Failure Mode and Effects Analysis |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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 | High | Low | High |
Timedifferent | 4-5 Tage | 2-6 h | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 5-8 | 3-10 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Prototype, Test Findings, Decision Rationale | FMEA Table, Risk Priority, Mitigation Actions | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | Design sprintPrototypeValidationInnovation | RiskQualityOperationsRoot cause | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |