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| Criterion | ![]() Knowledge Modeling IBIS | ![]() Product Discovery Opportunity Solution Tree | ![]() Decision Making Cynefin Workshop | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h | 1-2 h Setup, laufend | 60-180 min | 30-60 min |
Participantsdifferent | 2-8 | 2-6 | 4-20 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Issue Map, Positions, Argument Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Cynefin Map, Domain-specific Actions, Sensemaking Notes | Completed Experiment Canvas, Success Metric |
Tagsno overlap | RationaleKnowledgeDecision | DiscoveryOutcomesExperimentsOpportunity | ComplexitySensemakingDecision | ExperimentsValidationDiscoveryHypothesis |



