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| Criterion |  Delivery RAID Log |  Growth Hooked Model |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Low | Medium | Low | High |
Timedifferent | 30 min Setup, dann laufend | Multiple workshops over several weeks | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-3 maintaining, briefing for everyone | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | RAID Log, Status Report Source | Hooked loop, Trigger map, Reward design, Ethics check | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskTrackingStakeholdersGovernance | GrowthBehaviorRetention | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |