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 |  Product Discovery Hypothesis Prioritization Canvas |  Operations Root Cause Analysis |  Decision Making Pareto Analysis |
|---|---|---|---|---|
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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 1 h bis mehrere Wochen | 60-90 min | 1-4 h | 30-60 min |
Participantsdifferent | 1-8 | 3-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Prioritization Canvas, Hypothesis Backlog | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | Continuous improvementLeanExperiments | ExperimentsPrioritizationDiscoveryHypothesis | Root causeProblem solvingQualityIncident | PrioritizationQualityFocusRoot cause |