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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Bottleneck Analysis |  Innovation Design Thinking |  Product Strategy OKRs |
|---|---|---|---|---|
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. | 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. | 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 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 | Mehrere Wochen | 1-3 h | 1 Tag bis mehrere Wochen | 1-2 h Setup |
Participantsdifferent | 2-6 researchers plus sample | 3-8 | 4-10 | 2-20 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Problem Statement, Prototype, Test Learnings | OKR set, Measurement plan, Review cadence |
Tagsno overlap | OutcomesInnovationResearchQuantitative | FlowMeasurementConstraints | InnovationPrototypeResearch | GoalsAlignmentOutcomesMeasurement |