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| Criterion |  Operations ALPEN Method |  Decision Making Decision Tree |  Domain Modeling Context Map |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 10-20 min daily | 30-90 min | 1-3 h | 1-2 h |
Participantsdifferent | 1 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Decision Tree, Option Map, Assumption List | Context Map, Integration Patterns, Boundary Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | PlanningTime managementProductivityOperations | DecisionTreeOptions | Domain-Driven DesignBoundariesStrategy | StrategyDecisionAssumptionsHypothesis |