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| Criterion |  Systems Thinking Leverage Points |  Decision Making Wideband Delphi |  Agile Bucket System |  Systems Thinking Future Reality Tree |
|---|---|---|---|---|
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. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | 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. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Half day | 1-4 h or multiple rounds | 30-90 min | 2-4 h |
Participantsdifferent | 3-12 | 4-12 Experten | 3-12 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Leverage Map, Action Strategy | Estimate Range, Assumption Log, Expert Consensus Notes | Bucketed Backlog, Relative Estimates, Split Candidates | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | Systems thinkingChangeStrategy | EstimationExpertsForecasting | EstimationBacklogRelative sizing | Theory of ConstraintsSystems thinkingChange |