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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Strategy GIST Planning |  Operations Change Analysis |
|---|---|---|---|
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. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 30-240 min | Wochen bis Monate je Goal | 45-120 min |
Participantsdifferent | 1-6 | 3-10 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Goals, Idea bank, Step-project list, Tasks, Learning reports | Change Matrix, Cause Hypotheses, Validation Questions, Action List |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | RoadmapOutcomesPlanningExperiments | ChangeRoot causeTroubleshootingComparison |
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