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| Criterion |  Product Strategy ICE Scoring |  Product Discovery Smoke Test |  Product Discovery Pretotyping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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 | Low | Low | High |
Timedifferent | 30-60 min | 1-5 Tage | Stunden bis wenige Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | Nutzertraffic | 1-4 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | ICE Table, Top Idea List | Interest Metrics, Conversion Signal, Learning Note | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringGrowthDecision | ValidationExperimentsDemandGrowth | ValidationDemandMVP | ExperimentsGrowthAnalyticsValidation |