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| Criterion | ![]() UX Research Tree Testing | ![]() Domain Modeling EventStorming | ![]() Decision Making Assumption Surfacing | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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 domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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 | Medium | Medium | Low | Low |
Timedifferent | 1-2 Tage | 2-8 h | 45-90 min | 1-2 h |
Participantsdifferent | Based on research question | 5-12 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Information architectureNavigationFindability | Domain-Driven DesignEventsDiscoveryWorkshop | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |



