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| Criterion |  Operations PDCA Cycle |  Operations Time Blocking |  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. | With a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure. | 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 | Low | Medium | Low |
Timedifferent | 1 h bis mehrere Wochen | 15-30 min Planung, laufend | 1-2 h Setup, laufend | 10-20 min daily |
Participantsdifferent | 1-8 | 1 | 2-6 | 1 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Blocked Calendar, Capacity View, Focus Plan | Opportunity Solution Tree, Experiment Backlog, Learning Log | Daily Plan, Time Estimates, Review Notes |
Tagsno overlap | Continuous improvementLeanExperiments | PlanningTime managementFocus | DiscoveryOutcomesExperimentsOpportunity | PlanningTime managementProductivityOperations |