View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Operations PDCA Cycle |  Innovation Design Thinking |  Operations Root Cause Tree Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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 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 problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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 | Low | High | Medium | Low |
Timedifferent | 1 h bis mehrere Wochen | 1 Tag bis mehrere Wochen | 1-3 h | 15-30 min |
Participantsdifferent | 1-8 | 4-10 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Problem Statement, Prototype, Test Learnings | Cause Tree, Evidence Notes, Countermeasures | Root cause notes, Countermeasures |
Tagsno overlap | Continuous improvementLeanExperiments | InnovationPrototypeResearch | Root causeTreeIncidentQuality | Root causeIncidentLeanProblem solving |