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| Criterion |  Product Discovery Opportunity Solution Tree |  Decision Making Delphi Method |  Decision Making Constraint Analysis |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 | 1-2 h Setup, laufend | 1-4 Wochen | 30-90 min | 45-75 min |
Participantsdifferent | 2-6 | 6-30 Experten | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Expert Forecast, Consensus Range, Assumption Notes | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Test Matrix, Test Plan |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | ForecastingExpertsDecisionStrategy | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryOptions |