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| Criterion |  Operations PDCA Cycle |  Operations ALPEN Method |  Product Discovery Smoke Test |  Operations A3 Problem Solving |
|---|---|---|---|---|
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 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 1 h bis mehrere Wochen | 10-20 min daily | 1-5 Tage | 45-90 min |
Participantsdifferent | 1-8 | 1 | Nutzertraffic | 2-5 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Daily Plan, Time Estimates, Review Notes | Interest Metrics, Conversion Signal, Learning Note | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | Continuous improvementLeanExperiments | PlanningTime managementProductivityOperations | ValidationExperimentsDemandGrowth | LeanProblem solvingCoachingOperations |