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| Criterion |  Growth A/B Testing |  Product Discovery Experiment Canvas |  Operations 5 Whys |
|---|---|---|---|
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 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | High | Low | Low |
Timedifferent | 1-4 Wochen | 30-60 min | 15-30 min |
Participantsdifferent | 1-6 | 1-5 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric | Root cause notes, Countermeasures |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis | Root causeIncidentLeanProblem solving |
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