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| Criterion |  Knowledge Modeling Domain Storytelling |  Operations Theory of Constraints |  Operations ALPEN Method |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | For a system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput. | 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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Low | High | Low | Low |
Timedifferent | 1-2 h | 2-4 h Analyse, laufend | 10-20 min daily | 30-90 min |
Participantsdifferent | 2-8 | 3-12 | 1 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Constraint Map, Improvement Plan, Flow Metrics | Daily Plan, Time Estimates, Review Notes | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | OperationsConstraintsFlowImprovement | PlanningTime managementProductivityOperations | ConstraintsDecisionPlanningOptions |