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| Criterion |  Operations PDCA Cycle |  Decision Making PERT Estimation |  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. | On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes. | 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 | Medium | Low |
Timedifferent | 1 h bis mehrere Wochen | 15-45 min | 1-2 h |
Participantsdifferent | 1-8 | 1-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | PERT Estimate, Expected Value, Risk Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Continuous improvementLeanExperiments | EstimationUncertaintyRisk | StrategyDecisionAssumptionsHypothesis |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
