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| Criterion |  Product Discovery Opportunity Solution Tree |  UX Research Affinity Diagramming |  Product Strategy GIST Planning |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-2 h Setup, laufend | 45–90 min | Wochen bis Monate je Goal | 1-5 Tage |
Participantsdifferent | 2-6 | 3-10 | 3-10 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Theme clusters, Insight statements, Opportunity areas | Goals, Idea bank, Step-project list, Tasks, Learning reports | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | SynthesisQualitativeRoot cause | RoadmapOutcomesPlanningExperiments | ValidationExperimentsDemandDiscovery |