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| Criterion |  Agile Specification by Example |  Operations ALPEN Method |  Decision Making Constraint Analysis |  Agile Example Mapping |
|---|---|---|---|---|
Purposedifferent | When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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. | When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 60-90 min pro Feature | 10-20 min daily | 30-90 min | 30-60 min |
Participantsdifferent | 3-6 | 1 | 2-8 | 3-7 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Example Table, Acceptance Tests | Daily Plan, Time Estimates, Review Notes | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Example Map, Acceptance Criteria, Open Questions |
Tagsno overlap | AgileRequirementsExamplesBehavior-Driven Development | PlanningTime managementProductivityOperations | ConstraintsDecisionPlanningOptions | Behavior-Driven DevelopmentRequirementsExamplesRefinement |