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| Criterion | ![]() Systems Thinking Leverage Points | ![]() Decision Making Force Field Analysis | ![]() Product Discovery Riskiest Assumption Test | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 | High | Low | Medium | Low |
Timedifferent | Half day | 45-90 min | 1-2 Wochen pro Iteration | 1-2 h |
Participantsdifferent | 3-12 | 3-12 | 2-6 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Force Field Map, Change Levers, Risk Notes | Prioritized Assumption List, Test Plan, Results Report | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Systems thinkingChangeStrategy | ChangeDecisionStrategy | ExperimentsValidationDiscoveryAssumptions | StrategyDecisionAssumptionsHypothesis |



