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 Discovery User Story Mapping |  Operations PDCA Cycle |  Growth A/B Testing |  Product Discovery Concierge MVP |
|---|---|---|---|---|
Purposedifferent | When user goals and delivery scope could drift apart, it orders the journey from goal to slice. It makes visible where an MVP can genuinely be cut. | 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 2-4 h | 1 h bis mehrere Wochen | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 4-10 | 1-8 | 1-6 | 3-10 Kunden |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | BacklogJourneyPlanningMVP | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | MVPValidationServiceDiscovery |