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| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Product Discovery Problem Interview | ![]() Decision Making Constraint Analysis | ![]() Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | 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 the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h | 30-60 min je Interview | 30-90 min | 45-75 min |
Participantsdifferent | 3-8 | 5-12 Interviews | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Problem Evidence, Risk Notes, Customer Segments | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Test Matrix, Test Plan |
Tagsno overlap | FailureResilienceRisk | DiscoveryInterviewsValidation | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryOptions |



