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| Criterion |  Innovation Design Sprint |  Operations Fishbone Diagram |  Growth A/B Testing |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
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. | 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. | 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 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. |
Complexitydifferent | High | Low | High | High |
Timedifferent | 4-5 Tage | 30-60 min | 1-4 Wochen | 2-6 h |
Participantsdifferent | 5-8 | 2-8 | 1-6 | 3-10 |
Formatdifferent | Workshop | Workshop | Async | Workshop |
Outputdifferent | Prototype, Test Findings, Decision Rationale | Fishbone Diagram, Cause Categories, Investigation Backlog | Experiment results, Decision log, Learning summary | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | Design sprintPrototypeValidationInnovation | Root causeQualityOperations | ExperimentsGrowthAnalyticsValidation | RiskQualityOperationsRoot cause |