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| Criterion |  Operations ALPEN Method |  Product Strategy DIBB |  Decision Making Decision Tree |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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. | 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 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 | Low | Medium | Low |
Timedifferent | 10-20 min daily | 1-2 h | 30-90 min | 30-90 min |
Participantsdifferent | 1 | 2-8 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | PlanningTime managementProductivityOperations | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions | ConstraintsDecisionPlanningOptions |