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| Criterion |  Product Strategy ICE Scoring |  Product Discovery Smoke Test |  Operations A3 Problem Solving |  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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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 | Medium | High |
Timedifferent | 30-60 min | 1-5 Tage | 45-90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | Nutzertraffic | 2-5 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | ICE Table, Top Idea List | Interest Metrics, Conversion Signal, Learning Note | A3 Report, Action Plan, Root Cause Analysis | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringGrowthDecision | ValidationExperimentsDemandGrowth | LeanProblem solvingCoachingOperations | ExperimentsGrowthAnalyticsValidation |