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| Criterion | ![]() Product Discovery Context Canvas | ![]() Operations PDCA Cycle | ![]() Growth A/B Testing | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | 45-90 min | 1 h bis mehrere Wochen | 1-4 Wochen | 45-60 min |
Participantsdifferent | 3-10 | 1-8 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Context canvas, Open questions, Shared context notes | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ContextFramingRequirementsCanvas | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |



