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| Criterion |  Decision Making Constraint Analysis |  Innovation Design Thinking |  Decision Making Decision Matrix |  Innovation Design Sprint |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 30-90 min | 1 Tag bis mehrere Wochen | 45-90 min | 4-5 Tage |
Participantsdifferent | 2-8 | 4-10 | 2-8 | 5-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Problem Statement, Prototype, Test Learnings | Decision Matrix, Scoring Rationale, Selected Option | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ConstraintsDecisionPlanningOptions | InnovationPrototypeResearch | DecisionCriteriaScoringTradeoffs | Design sprintPrototypeValidationInnovation |