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| Criterion |  Decision Making Decision Tree |  Growth Hooked Model |  Decision Making Delphi Method |  Growth Flywheel |
|---|---|---|---|---|
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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 30-90 min | Multiple workshops over several weeks | 1-4 Wochen | 60-120 min |
Participantsdifferent | 1-6 | 2-8 | 6-30 Experten | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Hooked loop, Trigger map, Reward design, Ethics check | Expert Forecast, Consensus Range, Assumption Notes | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog |
Tagsno overlap | DecisionTreeOptions | GrowthBehaviorRetention | ForecastingExpertsDecisionStrategy | GrowthRetentionConversion |