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| Criterion |  Growth Hooked Model |  Agile NoEstimates |  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 estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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 | Medium | High | Low |
Timedifferent | Multiple workshops over several weeks | laufend | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-8 | 2-12 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Throughput Data, Flow Forecast, Slicing Rules | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | GrowthBehaviorRetention | EstimationForecastingFlow | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |