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| Criterion |  Innovation Design Thinking |  Decision Making Pre-Mortem |  Product Discovery Outcome-Driven Innovation |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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 | High | Low | High | Low |
Timedifferent | 1 Tag bis mehrere Wochen | 20–45 min | Mehrere Wochen | 30-90 min |
Participantsdifferent | 4-10 | Small cross-functional group | 2-6 researchers plus sample | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Risk list, Mitigation plan, Assumption log | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | InnovationPrototypeResearch | RiskDecisionFailurePlanning | OutcomesInnovationResearchQuantitative | ConstraintsDecisionPlanningOptions |