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| Criterion |  Innovation Design Sprint |  Operations Causal Factor Analysis |  Product Discovery Assumption Mapping |  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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | High |
Timedifferent | 4-5 Tage | 2-6 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | 5-8 | 3-10 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Prototype, Test Findings, Decision Rationale | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | Design sprintPrototypeValidationInnovation | CausalityIncidentRoot causeTimeline | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |