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| Criterion |  Growth Hooked Model |  Decision Making Constraint Analysis |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
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. | 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. | 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. | 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. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | Multiple workshops over several weeks | 30-90 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-8 | 2-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | GrowthBehaviorRetention | ConstraintsDecisionPlanningOptions | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |