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| Criterion |  Operations Causal Factor Analysis |  Innovation Design Sprint |  Innovation Design Thinking |  Operations Family Tree Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | High | High | High | Medium |
Timedifferent | 2-6 h | 4-5 Tage | 1 Tag bis mehrere Wochen | 2-4 h |
Participantsdifferent | 3-10 | 5-8 | 4-10 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Prototype, Test Findings, Decision Rationale | Problem Statement, Prototype, Test Learnings | Family Tree Diagram, Pattern Notes, Systemic Measures |
Tagsno overlap | CausalityIncidentRoot causeTimeline | Design sprintPrototypeValidationInnovation | InnovationPrototypeResearch | Root causePatternsIncidentSystemic |