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| Criterion |  Growth Hooked Model |  Product Strategy DIBB |  Decision Making Force Field Analysis |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | High |
Timedifferent | Multiple workshops over several weeks | 1-2 h | 45-90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 3-12 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | DIBB document, Belief list, Bet list, Learning report | Force Field Map, Change Levers, Risk Notes | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | GrowthBehaviorRetention | StrategyDecisionAssumptionsHypothesis | ChangeDecisionStrategy | ForecastingExpertsDecisionStrategy |