View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Strategy Lean Canvas |  Operations PDCA Cycle |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 45-90 min | 1 h bis mehrere Wochen | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 1-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Lean Canvas, Core Assumptions, Experiment Backlog | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | StartupLeanAssumptionsBusiness model | Continuous improvementLeanExperiments | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |