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| Criterion |  Product Strategy ICE Scoring |  Systems Thinking Future Reality Tree |  Product Strategy DIBB |  Systems Thinking Leverage Points |
|---|---|---|---|---|
Purposedifferent | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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. | 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. | 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. |
Complexitydifferent | Low | High | Low | High |
Timedifferent | 30-60 min | 2-4 h | 1-2 h | Half day |
Participantsdifferent | 2-8 | 3-8 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | ICE Table, Top Idea List | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | DIBB document, Belief list, Bet list, Learning report | Leverage Map, Action Strategy |
Tagsno overlap | PrioritizationScoringGrowthDecision | Theory of ConstraintsSystems thinkingChange | StrategyDecisionAssumptionsHypothesis | Systems thinkingChangeStrategy |