View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Jobs to Be Done |  Operations A3 Problem Solving |  Operations Kaizen Event |
|---|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-240 min | 1-3 Wochen | 45-90 min | 0.5-5 Tage |
Participantsdifferent | 1-6 | 5-12 Interviews | 2-5 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Job Stories, Outcome Statements, Opportunity List | A3 Report, Action Plan, Root Cause Analysis | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | CustomerOutcomesNeeds | LeanProblem solvingCoachingOperations | LeanContinuous improvementOperations |