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| Criterion | ![]() Knowledge Modeling PARA Method | ![]() Decision Making Decision Tree | ![]() Decision Making Assumption Surfacing | ![]() Product Strategy DIBB |
|---|---|---|---|---|
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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-3 h Setup, laufend | 30-90 min | 45-90 min | 1-2 h |
Participantsdifferent | 1 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Decision Tree, Option Map, Assumption List | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | KnowledgeProductivityOrganization | DecisionTreeOptions | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |



