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| Criterion |  Product Discovery Jobs to Be Done |  UX Research Tree Testing |  Product Discovery Outcome-Driven Innovation |  Product Discovery Opportunity Scoring |
|---|---|---|---|---|
Purposedifferent | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-3 Wochen | 1-2 Tage | Mehrere Wochen | 60-120 min |
Participantsdifferent | 5-12 Interviews | Based on research question | 2-6 researchers plus sample | 3-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Job Stories, Outcome Statements, Opportunity List | Findability Metrics, Path Analysis, Revised IA | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Opportunity Score Table, Top Outcomes |
Tagsno overlap | CustomerOutcomesNeeds | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative | PrioritizationDiscoveryOutcomesNeeds |