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| Criterion | ![]() Decision Making Delphi Method | ![]() UX Design Customer Journey Canvas | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | When a journey needs to be understood across several phases, it arranges experience, touchpoints, and opportunities into one picture. It makes gaps and friction along the user path clear. | 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. | 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. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 6-30 Experten | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Customer Journey Canvas, Pain Points, Experience Opportunities | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ForecastingExpertsDecisionStrategy | JourneyCustomerService designCanvas | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |



