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| Criterion |  Growth Hooked Model |  Decision Making Risk Matrix |  Growth A/B Testing |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
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 a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | Multiple workshops over several weeks | 30-60 min | 1-4 Wochen | 45-90 min |
Participantsdifferent | 2-8 | 3-10 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Risk Matrix, Top Risk List | Experiment results, Decision log, Learning summary | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | GrowthBehaviorRetention | RiskDecisionPrioritizationAssessment | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskDecisionDiscovery |