View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Operations PDCA Cycle |  Product Discovery Opportunity Solution Tree |  Innovation Design Thinking |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 1-2 h Setup, laufend | 1 Tag bis mehrere Wochen | 1-5 Tage |
Participantsdifferent | 1-8 | 2-6 | 4-10 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Opportunity Solution Tree, Experiment Backlog, Learning Log | Problem Statement, Prototype, Test Learnings | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Continuous improvementLeanExperiments | DiscoveryOutcomesExperimentsOpportunity | InnovationPrototypeResearch | ValidationExperimentsDemandDiscovery |