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| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Product Discovery Outcome-Driven Innovation | ![]() Decision Making Constraint Analysis |
|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 1-3 h | Mehrere Wochen | 30-90 min |
Participantsdifferent | 3-8 | 2-6 researchers plus sample | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | FailureResilienceRisk | OutcomesInnovationResearchQuantitative | ConstraintsDecisionPlanningOptions |
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