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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Decision Making Pre-Mortem |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | High | Low | Low |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 20–45 min | 30-90 min |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | Small cross-functional group | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Risk list, Mitigation plan, Assumption log | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | RiskDecisionFailurePlanning | ConstraintsDecisionPlanningOptions |