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| Criterion |  Decision Making Constraint Analysis |  UX Research User Interviews |  Product Discovery Opportunity Solution Tree |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | 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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 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 | Low | Low | Medium | Medium |
Timedifferent | 30-90 min | 30–60 min per interview | 1-2 h Setup, laufend | 45-75 min |
Participantsdifferent | 2-8 | 1 participant per interview | 2-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Interview Notes, Themes, Insight Summary | Opportunity Solution Tree, Experiment Backlog, Learning Log | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | QualitativeResearchCustomerDiscovery | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryOptions |