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| Criterion |  Operations After-Action Review |  Systems Thinking Leverage Points |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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. | 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. |
Complexitydifferent | Low | High | Low | High |
Timedifferent | 20-45 min | Half day | 1-2 h | 1-4 Wochen |
Participantsdifferent | 3-12 | 3-12 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Lessons learned, Action items, Event summary | Leverage Map, Action Strategy | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | LearningOperationsImprovement | Systems thinkingChangeStrategy | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |