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| Criterion | ![]() Decision Making Constraint Analysis | ![]() Decision Making Trade-off Analysis | ![]() Growth Flywheel | ![]() 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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. | 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 | Medium | Medium |
Timedifferent | 30-90 min | 45-120 min | 60-120 min | 30-90 min |
Participantsdifferent | 2-8 | 2-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ConstraintsDecisionPlanningOptions | TradeoffsDecisionCriteriaOptions | GrowthRetentionConversion | DecisionTreeOptions |



