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| Criterion |  Innovation Design Thinking |  Operations Bottleneck Analysis |  Product Discovery Outcome-Driven Innovation |  Product Strategy OKRs |
|---|---|---|---|---|
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. | 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. | 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 strategic direction needs to become measurable, it connects ambition with checkable results. It makes goals connectable to focus and review. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 1-3 h | Mehrere Wochen | 1-2 h Setup |
Participantsdifferent | 4-10 | 3-8 | 2-6 researchers plus sample | 2-20 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | OKR set, Measurement plan, Review cadence |
Tagsno overlap | InnovationPrototypeResearch | FlowMeasurementConstraints | OutcomesInnovationResearchQuantitative | GoalsAlignmentOutcomesMeasurement |