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| Criterion |  Product Discovery Dual-Track Agile |  Decision Making Decision Tree |  Decision Making Constraint Analysis |  Delivery Cost of Delay |
|---|---|---|---|---|
Purposedifferent | When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | Laufend, Wochen bis Monate | 30-90 min | 30-90 min | 90-180 min |
Participantsdifferent | 4-10 | 1-6 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | CoD Table, Prioritization Sequence |
Tagsno overlap | AgileDiscoveryDelivery | DecisionTreeOptions | ConstraintsDecisionPlanningOptions | PrioritizationDeliveryEconomicsDecision |