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| Criterion |  Decision Making Delphi Method |  UX Research First-click Testing |  Systems Thinking Future Reality Tree |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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. |
Complexitydifferent | High | Low | High | Low |
Timedifferent | 1-4 Wochen | 1-2 Tage | 2-4 h | 1-2 h |
Participantsdifferent | 6-30 Experten | 10-30 | 3-8 | 2-8 |
Formatdifferent | Async | Async | Workshop | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Click Heatmap, Success Rate, Design Recommendations | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | UXNavigationFindabilityValidation | Theory of ConstraintsSystems thinkingChange | StrategyDecisionAssumptionsHypothesis |