View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() UX Research Tree Testing | ![]() UX Research Surveys |
|---|---|---|---|
Purposedifferent | 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 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. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 1-2 Tage | 3-14 Tage |
Participantsdifferent | 2-6 researchers plus sample | Based on research question | 50+ |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Findability Metrics, Path Analysis, Revised IA | Survey Results, Charts, Segment Insights |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Information architectureNavigationFindability | QuantitativeResearchValidation |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.






