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| Criterion |  UX Research User Interviews |  Systems Thinking Future Reality Tree |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|
Purposedifferent | 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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. |
Complexitydifferent | Low | High | Medium |
Timedifferent | 30–60 min per interview | 2-4 h | 1-2 h Setup, laufend |
Participantsdifferent | 1 participant per interview | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | QualitativeResearchCustomerDiscovery | Theory of ConstraintsSystems thinkingChange | DiscoveryOutcomesExperimentsOpportunity |
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