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| Criterion |  Growth Hooked Model |  Product Discovery Smoke Test |  Decision Making Trade-off Analysis |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Multiple workshops over several weeks | 1-5 Tage | 45-120 min | 45-75 min |
Participantsdifferent | 2-8 | Nutzertraffic | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Interest Metrics, Conversion Signal, Learning Note | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Test Matrix, Test Plan |
Tagsno overlap | GrowthBehaviorRetention | ValidationExperimentsDemandGrowth | TradeoffsDecisionCriteriaOptions | ExperimentsValidationDiscoveryOptions |