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| Criterion |  Delivery Cost of Delay |  Engineering Failure Scenario Analysis |  Product Discovery Experiment Canvas |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 90-180 min | 1-3 h | 30-60 min | 45-60 min |
Participantsdifferent | 3-8 | 3-8 | 1-5 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | CoD Table, Prioritization Sequence | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Completed Experiment Canvas, Success Metric | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | PrioritizationDeliveryEconomicsDecision | FailureResilienceRisk | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation |