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| Criterion |  Decision Making Decision Tree |  Delivery Cost of Delay |  Facilitation Dot Voting |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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 a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. | 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 | Medium | High | Low | Low |
Timedifferent | 30-90 min | 90-180 min | 5-15 min | 30-90 min |
Participantsdifferent | 1-6 | 3-8 | 3-20 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | CoD Table, Prioritization Sequence | Ranked list, Consensus signal, Shortlist | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | PrioritizationDeliveryEconomicsDecision | FacilitationVotingConsensusPrioritization | ConstraintsDecisionPlanningOptions |