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| Criterion |  Decision Making Delphi Method |  Growth Hooked Model |  Decision Making Force Field Analysis |  Growth Flywheel |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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 | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | Multiple workshops over several weeks | 45-90 min | 60-120 min |
Participantsdifferent | 6-30 Experten | 2-8 | 3-12 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Hooked loop, Trigger map, Reward design, Ethics check | Force Field Map, Change Levers, Risk Notes | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog |
Tagsno overlap | ForecastingExpertsDecisionStrategy | GrowthBehaviorRetention | ChangeDecisionStrategy | GrowthRetentionConversion |