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| Criterion |  Product Discovery Assumption Mapping |  Operations Fishbone Diagram |  Innovation Design Sprint |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 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 | Medium | Low | High | High |
Timedifferent | 45-60 min | 30-60 min | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 5-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Fishbone Diagram, Cause Categories, Investigation Backlog | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary |
Tagsno overlap | AssumptionsRiskExperimentsValidation | Root causeQualityOperations | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation |