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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Trade-off Analysis |  Innovation Design Sprint |  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. | 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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | Medium | High | Low |
Timedifferent | Mehrere Wochen | 45-120 min | 4-5 Tage | 30-90 min |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 5-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Prototype, Test Findings, Decision Rationale | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | OutcomesInnovationResearchQuantitative | TradeoffsDecisionCriteriaOptions | Design sprintPrototypeValidationInnovation | ConstraintsDecisionPlanningOptions |