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| Criterion |  Decision Making Delphi Method |  Knowledge Modeling Shape-First Modeling |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Test Card |
|---|---|---|---|---|
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. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | Halber Tag pro Domain Slice | 60-90 min | 20-35 min |
Participantsdifferent | 6-30 Experten | 1-4 | 3-8 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Prioritization Canvas, Hypothesis Backlog | Test Card with a pre-set threshold |
Tagsno overlap | ForecastingExpertsDecisionStrategy | Knowledge graphValidationSemantic | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryHypothesis |