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| Criterion |  Decision Making Constraint Analysis |  Growth Flywheel |  Delivery Cost of Delay |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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. | 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. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 30-90 min | 60-120 min | 90-180 min | 30-90 min |
Participantsdifferent | 2-8 | 3-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | CoD Table, Prioritization Sequence | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ConstraintsDecisionPlanningOptions | GrowthRetentionConversion | PrioritizationDeliveryEconomicsDecision | DecisionTreeOptions |