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| Criterion |  Product Strategy DIBB |  Product Strategy RICE Scoring |  Decision Making Constraint Analysis |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | 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. | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 1-2 h | 60-90 min | 30-90 min | 30-60 min |
Participantsdifferent | 2-8 | 2-10 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | RICE Scores, Ranked List, Assumption Log | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | ICE Table, Top Idea List |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | PrioritizationScoringRoadmapTradeoffs | ConstraintsDecisionPlanningOptions | PrioritizationScoringGrowthDecision |