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| Criterion |  Decision Making Wideband Delphi |  UX Research HEART Framework |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | High | Medium | Medium | High |
Timedifferent | 1-4 h or multiple rounds | 120 min initial, dann laufend | 45-60 min | 1-4 Wochen |
Participantsdifferent | 4-12 Experten | 3-6 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Estimate Range, Assumption Log, Expert Consensus Notes | HEART-GSM Table, Dashboard | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationExpertsForecasting | MetricsUX researchMeasurementSatisfaction | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |