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| Criterion |  Operations Failure Mode and Effects Analysis |  Innovation Design Sprint |  Growth A/B Testing |  Operations Fishbone Diagram |
|---|---|---|---|---|
Purposedifferent | 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 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. | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. |
Complexitydifferent | High | High | High | Low |
Timedifferent | 2-6 h | 4-5 Tage | 1-4 Wochen | 30-60 min |
Participantsdifferent | 3-10 | 5-8 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop | Async | Workshop |
Outputdifferent | FMEA Table, Risk Priority, Mitigation Actions | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tagsno overlap | RiskQualityOperationsRoot cause | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation | Root causeQualityOperations |