View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Knowledge Modeling PARA Method | ![]() Decision Making Assumption Surfacing | ![]() Product Strategy KPI Tree | ![]() 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. | 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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | 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 | Low | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | 45-90 min | 90-180 min initial, dann laufend | 1-2 h |
Participantsdifferent | 1 | 2-8 | 3-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Assumption List, Critical Assumptions, Learning Plan | KPI Tree, Owner List | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | KnowledgeProductivityOrganization | AssumptionsRiskDecisionDiscovery | MetricsStrategyAlignmentMeasurement | StrategyDecisionAssumptionsHypothesis |



