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| Criterion |  Agile Affinity Estimation |  Decision Making Delphi Method |  Product Discovery Learning Card |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 30-90 min | 1-4 Wochen | 25-40 min | 45-75 min |
Participantsdifferent | 3-12 | 6-30 Experten | 1-5 | 2-8 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Expert Forecast, Consensus Range, Assumption Notes | Learning Card with evidence and next action | Test Matrix, Test Plan |
Tagsno overlap | EstimationBacklogRelative sizing | ForecastingExpertsDecisionStrategy | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryOptions |