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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Operations Causal Factor Analysis |  Innovation Design Sprint |
|---|---|---|---|---|
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 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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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. |
Complexitysame | High | High | High | High |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 2-6 h | 4-5 Tage |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 3-10 | 5-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | CausalityIncidentRoot causeTimeline | Design sprintPrototypeValidationInnovation |