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| Criterion | ![]() Decision Making Decision Tree | ![]() Growth Flywheel | ![]() Decision Making Decision Framing Workshop | ![]() Growth North Star Metric |
|---|---|---|---|---|
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. | 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. | When a decision is poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins. | When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | 60-120 min | 60-120 min | 1-2 h |
Participantsdifferent | 1-6 | 3-8 | 4-10 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Decision Frame, Decision Question, Criteria List, Evidence Plan | North Star metric, Input metric tree, Measurement cadence |
Tagsno overlap | DecisionTreeOptions | GrowthRetentionConversion | Decision framingAlignmentCriteriaOptions | GrowthMetricsAlignmentRetention |



