View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Strategy Product Canvas |  Decision Making Decision Tree |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When product goal and feature scope don't yet fit cleanly together, it creates a shared working picture. It connects need, core features, and assumptions into a solid starting point. | 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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 | High | Low |
Timedifferent | 1-2 h | 30-90 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-8 | 1-6 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Product Canvas, Product Assumptions, Scope Notes | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | CanvasDiscoveryScope | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |