View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Decision Making Decision Tree |  Decision Making Delphi Method |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 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. | 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. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 30-90 min | 1-4 Wochen | 30-60 min | 1-5 Tage |
Participantsdifferent | 1-6 | 6-30 Experten | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |