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| Criterion |  Operations PDCA Cycle |  Product Discovery Opportunity Solution Tree |  Innovation Design Thinking |  Innovation Design Sprint |
|---|---|---|---|---|
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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 1 h bis mehrere Wochen | 1-2 h Setup, laufend | 1 Tag bis mehrere Wochen | 4-5 Tage |
Participantsdifferent | 1-8 | 2-6 | 4-10 | 5-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Opportunity Solution Tree, Experiment Backlog, Learning Log | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | Continuous improvementLeanExperiments | DiscoveryOutcomesExperimentsOpportunity | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation |