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| Criterion |  Decision Making Delphi Method |  Product Discovery Experiment Canvas |  Agile Bucket System |
|---|---|---|---|
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 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 a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. |
Complexitydifferent | High | Low | Medium |
Timedifferent | 1-4 Wochen | 30-60 min | 30-90 min |
Participantsdifferent | 6-30 Experten | 1-5 | 3-12 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Completed Experiment Canvas, Success Metric | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | ForecastingExpertsDecisionStrategy | ExperimentsValidationDiscoveryHypothesis | EstimationBacklogRelative sizing |
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