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| Criterion |  Operations PDCA Cycle |  Systems Thinking Leverage Points |  Decision Making Force Field Analysis |  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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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 | Half day | 45-90 min | 1-2 h |
Participantsdifferent | 1-8 | 3-12 | 3-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Leverage Map, Action Strategy | Force Field Map, Change Levers, Risk Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Continuous improvementLeanExperiments | Systems thinkingChangeStrategy | ChangeDecisionStrategy | StrategyDecisionAssumptionsHypothesis |