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| Criterion |  Growth Hooked Model |  Engineering Failure Scenario Analysis |  Growth Flywheel |  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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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 | 1-3 h | 60-120 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | FailureResilienceRisk | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation |