View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() UX Research Personas | ![]() UX Research Tree Testing | ![]() Product Discovery Outcome-Driven Innovation | ![]() Product Discovery Jobs to Be Done |
|---|---|---|---|---|
Purposedifferent | When target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | 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 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-3 Tage | 1-2 Tage | Mehrere Wochen | 1-3 Wochen |
Participantsdifferent | Internes Team | Based on research question | 2-6 researchers plus sample | 5-12 Interviews |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Findability Metrics, Path Analysis, Revised IA | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Job Stories, Outcome Statements, Opportunity List |
Tagsno overlap | ResearchCustomerSynthesis | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative | CustomerOutcomesNeeds |



