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| Criterion |  Growth Funnel Analysis |  Product Discovery Concierge MVP |  Growth Hooked Model |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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 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 | 1-3 h | 1-4 Wochen | Multiple workshops over several weeks | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-10 Kunden | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Concierge Learnings, Service Blueprint, MVP Risks | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | MVPValidationServiceDiscovery | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation |