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| Criterion | ![]() Decision Making Force Field Analysis | ![]() Growth A/B Testing | ![]() Product Discovery Assumption Mapping | ![]() Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | Low | High | Medium | Medium |
Timedifferent | 45-90 min | 1-4 Wochen | 45-60 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 3-12 | 1-6 | 2-8 | 2-6 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | ChangeDecisionStrategy | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation | ExperimentsValidationDiscoveryAssumptions |



