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| Criterion | ![]() Product Discovery Working Backwards | ![]() Operations PDCA Cycle | ![]() Operations Family Tree Analysis | ![]() Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | When the target state and benefit need to be clear first, it thinks backward from the desired outcome into the product logic. It sharpens vision, objections, and value proposition before elaboration. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 | Medium | Low | Medium | High |
Timedifferent | 4-8 h, mehrere Iterationen | 1 h bis mehrere Wochen | 2-4 h | 2-6 h |
Participantsdifferent | 2-6 | 1-8 | 2-6 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Family Tree Diagram, Pattern Notes, Systemic Measures | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | VisionNarrativeAlignment | Continuous improvementLeanExperiments | Root causePatternsIncidentSystemic | CausalityIncidentRoot causeTimeline |



