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| Criterion |  Operations ALPEN Method |  Decision Making Decision Tree |  Product Discovery Smoke Test |  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. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Medium | Low | Low |
Timedifferent | 10-20 min daily | 30-90 min | 1-5 Tage | 30-90 min |
Participantsdifferent | 1 | 1-6 | Nutzertraffic | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Decision Tree, Option Map, Assumption List | Interest Metrics, Conversion Signal, Learning Note | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | PlanningTime managementProductivityOperations | DecisionTreeOptions | ValidationExperimentsDemandGrowth | ConstraintsDecisionPlanningOptions |