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Criterion
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Future Reality Tree.
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.After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.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.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
HighMediumHighHigh
Timedifferent
Half day30-90 min1-4 Wochen2-4 h
Participantsdifferent
3-123-126-30 Experten3-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop
Outputdifferent
Leverage Map, Action StrategyPostmortem Doc, Action Items, TimelineExpert Forecast, Consensus Range, Assumption NotesFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
Systems thinkingChangeStrategy
Site Reliability EngineeringIncidentLearningReliability
ForecastingExpertsDecisionStrategy
Theory of ConstraintsSystems thinkingChange
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