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| Criterion |  Product Strategy DIBB |  Decision Making Argument Mapping |  UX Research Affinity Diagramming |  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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | Medium | Low | High |
Timedifferent | 1-2 h | 1-3 h | 45–90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-8 | 3-10 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Argument Map, Evidence Gaps, Decision Rationale | Theme clusters, Insight statements, Opportunity areas | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | SensemakingDecisionRationale | SynthesisQualitativeRoot cause | ForecastingExpertsDecisionStrategy |