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| Criterion |  Product Strategy DIBB |  UX Research Card Sorting |  Systems Thinking Leverage Points |  Decision Making Force Field Analysis |
|---|---|---|---|---|
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. | 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 | Low | High | Low |
Timedifferent | 1-2 h | 20-45 min | Half day | 45-90 min |
Participantsdifferent | 2-8 | Based on research question | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Content groups, Label set, IA hypotheses | Leverage Map, Action Strategy | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Information architectureNavigationStructure | Systems thinkingChangeStrategy | ChangeDecisionStrategy |