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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Operations Family Tree Analysis |  Operations Causal Factor Analysis |
|---|---|---|---|---|
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 a series of incidents with a similar pattern, the method arranges individual events as branches of a common origin. It makes visible which conditions keep recurring. | 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. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 2-4 h | 2-6 h |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 2-6 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Family Tree Diagram, Pattern Notes, Systemic Measures | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | Root causePatternsIncidentSystemic | CausalityIncidentRoot causeTimeline |