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| Criterion | ![]() Decision Making Delphi Method | ![]() Product Strategy KPI Tree | ![]() Product Discovery Fake Door Test | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 90-180 min initial, dann laufend | 1-5 Tage | 30-60 min |
Participantsdifferent | 6-30 Experten | 3-8 | Nutzertraffic | 1-5 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | KPI Tree, Owner List | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ForecastingExpertsDecisionStrategy | MetricsStrategyAlignmentMeasurement | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |



