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| Criterion |  Facilitation Dot Voting |  Product Strategy ICE Scoring |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 | 5-15 min | 30-60 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-20 | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Ranked list, Consensus signal, Shortlist | ICE Table, Top Idea List | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | FacilitationVotingConsensusPrioritization | PrioritizationScoringGrowthDecision | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |