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| Criterion |  Innovation Design Thinking |  Decision Making Constraint Analysis |  Operations Bottleneck Analysis |  Innovation Design Sprint |
|---|---|---|---|---|
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. | 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 a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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 | High | Low | Medium | High |
Timedifferent | 1 Tag bis mehrere Wochen | 30-90 min | 1-3 h | 4-5 Tage |
Participantsdifferent | 4-10 | 2-8 | 3-8 | 5-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | InnovationPrototypeResearch | ConstraintsDecisionPlanningOptions | FlowMeasurementConstraints | Design sprintPrototypeValidationInnovation |