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| Criterion |  Decision Making Force Field Analysis |  Delivery Cost of Delay |  Product Discovery Experiment Canvas |  Product Discovery Fake Door 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | High | Low | Medium |
Timedifferent | 45-90 min | 90-180 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-12 | 3-8 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | CoD Table, Prioritization Sequence | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ChangeDecisionStrategy | PrioritizationDeliveryEconomicsDecision | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |