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| Criterion |  Product Discovery Smoke Test |  Growth Growth Experiment |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | 1-5 Tage | 1-2 Wochen | 30-60 min | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 1-6 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Experiment card, Result summary, Next bet | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tags1 shared | ValidationExperimentsDemandGrowth | MarketingGrowthExperimentsLearning | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |