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| Criterion | ![]() Systems Thinking Leverage Points | ![]() Operations ALPEN Method | ![]() Product Strategy DIBB | ![]() Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 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. |
Complexitydifferent | High | Low | Low | Low |
Timedifferent | Half day | 10-20 min daily | 1-2 h | 30-90 min |
Participantsdifferent | 3-12 | 1 | 2-8 | 2-8 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Daily Plan, Time Estimates, Review Notes | DIBB document, Belief list, Bet list, Learning report | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | Systems thinkingChangeStrategy | PlanningTime managementProductivityOperations | StrategyDecisionAssumptionsHypothesis | ConstraintsDecisionPlanningOptions |



