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| Criterion | ![]() Knowledge Modeling PARA Method | ![]() Engineering Hypothesis-Driven Troubleshooting | ![]() Decision Making Assumption Surfacing | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 30-240 min | 45-90 min | 45-60 min |
Participantsdifferent | 1 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Assumption List, Critical Assumptions, Learning Plan | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | KnowledgeProductivityOrganization | TroubleshootingProblem solvingDiagnosis | AssumptionsRiskDecisionDiscovery | AssumptionsRiskExperimentsValidation |



