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| Criterion |  Growth A/B Testing |  Growth North Star Metric |  Product Discovery Experiment Canvas |  Product Discovery Learning Card |
|---|---|---|---|---|
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. | When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | High | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 1-2 h | 30-60 min | 25-40 min |
Participantsdifferent | 1-6 | 3-8 | 1-5 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | North Star metric, Input metric tree, Measurement cadence | Completed Experiment Canvas, Success Metric | Learning Card with evidence and next action |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | GrowthMetricsAlignmentRetention | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryLearning |