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 Strategy DIBB |  UX Research First-click Testing |  UX Research Tree Testing |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. | 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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 1-2 h | 1-2 Tage | 1-2 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 10-30 | Based on research question | 6-30 Experten |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Click Heatmap, Success Rate, Design Recommendations | Findability Metrics, Path Analysis, Revised IA | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | UXNavigationFindabilityValidation | Information architectureNavigationFindability | ForecastingExpertsDecisionStrategy |