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| Criterion |  Product Discovery Working Backwards |  Operations PDCA Cycle |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When the target state and benefit need to be clear first, it thinks backward from the desired outcome into the product logic. It sharpens vision, objections, and value proposition before elaboration. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 4-8 h, mehrere Iterationen | 1 h bis mehrere Wochen | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-6 | 1-8 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | VisionNarrativeAlignment | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |