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| Criterion |  Systems Thinking Future Reality Tree |  Product Strategy Lean Canvas |  Systems Thinking Leverage Points |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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 | High | Medium | High | Low |
Timedifferent | 2-4 h | 45-90 min | Half day | 1-2 h |
Participantsdifferent | 3-8 | 1-6 | 3-12 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Lean Canvas, Core Assumptions, Experiment Backlog | Leverage Map, Action Strategy | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | StartupLeanAssumptionsBusiness model | Systems thinkingChangeStrategy | StrategyDecisionAssumptionsHypothesis |