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| Criterion | ![]() Innovation Design Thinking | ![]() Operations Causal Factor Analysis | ![]() Innovation Design Sprint | ![]() Operations 5 Whys |
|---|---|---|---|---|
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 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 a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | High | High | High | Low |
Timedifferent | 1 Tag bis mehrere Wochen | 2-6 h | 4-5 Tage | 15-30 min |
Participantsdifferent | 4-10 | 3-10 | 5-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Prototype, Test Findings, Decision Rationale | Root cause notes, Countermeasures |
Tagsno overlap | InnovationPrototypeResearch | CausalityIncidentRoot causeTimeline | Design sprintPrototypeValidationInnovation | Root causeIncidentLeanProblem solving |



