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| Criterion |  Product Strategy DIBB |  UX Research Card Sorting |  Systems Thinking Leverage Points |  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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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 | High | High |
Timedifferent | 1-2 h | 20-45 min | Half day | 1-4 Wochen |
Participantsdifferent | 2-8 | Based on research question | 3-12 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Content groups, Label set, IA hypotheses | Leverage Map, Action Strategy | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Information architectureNavigationStructure | Systems thinkingChangeStrategy | ForecastingExpertsDecisionStrategy |