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| Criterion | ![]() Operations PDCA Cycle | ![]() Product Discovery Opportunity Solution Tree | ![]() Operations ALPEN Method |
|---|---|---|---|
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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. |
Complexitydifferent | Low | Medium | Low |
Timedifferent | 1 h bis mehrere Wochen | 1-2 h Setup, laufend | 10-20 min daily |
Participantsdifferent | 1-8 | 2-6 | 1 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Opportunity Solution Tree, Experiment Backlog, Learning Log | Daily Plan, Time Estimates, Review Notes |
Tagsno overlap | Continuous improvementLeanExperiments | DiscoveryOutcomesExperimentsOpportunity | PlanningTime managementProductivityOperations |
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