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| Criterion |  Product Discovery Dual-Track Agile |  Decision Making Decision Tree |  Delivery Cost of Delay |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
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. | 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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | Laufend, Wochen bis Monate | 30-90 min | 90-180 min | 60-90 min |
Participantsdifferent | 4-10 | 1-6 | 3-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Decision Tree, Option Map, Assumption List | CoD Table, Prioritization Sequence | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | AgileDiscoveryDelivery | DecisionTreeOptions | PrioritizationDeliveryEconomicsDecision | ExperimentsPrioritizationDiscoveryHypothesis |