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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Constraint Analysis |  Decision Making Trade-off Analysis |  Innovation Design Thinking |
|---|---|---|---|---|
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. | 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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. |
Complexitydifferent | High | Low | Medium | High |
Timedifferent | Mehrere Wochen | 30-90 min | 45-120 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 2-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ConstraintsDecisionPlanningOptions | TradeoffsDecisionCriteriaOptions | InnovationPrototypeResearch |