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| Criterion |  Growth Hooked Model |  Product Discovery Assumption Mapping |  Facilitation Dot Voting |  Product Discovery Smoke Test |
|---|---|---|---|---|
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. | 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | Multiple workshops over several weeks | 45-60 min | 5-15 min | 1-5 Tage |
Participantsdifferent | 2-8 | 2-8 | 3-20 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Assumption map, Test backlog, Risk ranking | Ranked list, Consensus signal, Shortlist | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | GrowthBehaviorRetention | AssumptionsRiskExperimentsValidation | FacilitationVotingConsensusPrioritization | ValidationExperimentsDemandGrowth |