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| Criterion | ![]() Operations PDCA Cycle | ![]() Innovation Design Thinking | ![]() Decision Making Assumption Surfacing | ![]() Product Strategy DIBB |
|---|---|---|---|---|
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. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Low | High | Low | Low |
Timedifferent | 1 h bis mehrere Wochen | 1 Tag bis mehrere Wochen | 45-90 min | 1-2 h |
Participantsdifferent | 1-8 | 4-10 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Problem Statement, Prototype, Test Learnings | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Continuous improvementLeanExperiments | InnovationPrototypeResearch | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |



