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| Criterion |  Growth A/B Testing |  Operations Causal Factor Analysis |  Product Discovery Learning Card |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | High | Low | Low |
Timedifferent | 1-4 Wochen | 2-6 h | 25-40 min | 30-60 min |
Participantsdifferent | 1-6 | 3-10 | 1-5 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Learning Card with evidence and next action | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | CausalityIncidentRoot causeTimeline | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryHypothesis |