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| Criterion |  Growth Hooked Model |  Engineering Hypothesis-Driven Troubleshooting |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
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 systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | Multiple workshops over several weeks | 30-240 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-6 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | TroubleshootingProblem solvingDiagnosis | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |