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| Criterion | ![]() UX Research Card Sorting | ![]() Decision Making Decision Matrix | ![]() Product Strategy DIBB | ![]() Decision Making Force Field Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 20-45 min | 45-90 min | 1-2 h | 45-90 min |
Participantsdifferent | Based on research question | 2-8 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Content groups, Label set, IA hypotheses | Decision Matrix, Scoring Rationale, Selected Option | DIBB document, Belief list, Bet list, Learning report | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | Information architectureNavigationStructure | DecisionCriteriaScoringTradeoffs | StrategyDecisionAssumptionsHypothesis | ChangeDecisionStrategy |



