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| Criterion | ![]() Decision Making Decision Matrix | ![]() Product Discovery Smoke Test | ![]() Product Discovery Fake Door Test | ![]() Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 45-90 min | 1-5 Tage | 1-5 Tage | 30-60 min |
Participantsdifferent | 2-8 | Nutzertraffic | Nutzertraffic | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision | ICE Table, Top Idea List |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery | PrioritizationScoringGrowthDecision |



