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| Criterion |  Operations Change Analysis |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Force Field Analysis |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 45-120 min | 60-90 min | 45-90 min | 30-60 min |
Participantsdifferent | 2-6 | 3-8 | 3-12 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Prioritization Canvas, Hypothesis Backlog | Force Field Map, Change Levers, Risk Notes | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | ExperimentsPrioritizationDiscoveryHypothesis | ChangeDecisionStrategy | ExperimentsValidationDiscoveryHypothesis |