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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
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
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Purposedifferent
When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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.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.
Complexitydifferent
LowHighHighHigh
Timedifferent
20-45 min1-4 Wochen2-4 hHalf day
Participantsdifferent
Based on research question6-30 Experten3-83-12
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop
Outputdifferent
Content groups, Label set, IA hypothesesExpert Forecast, Consensus Range, Assumption NotesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsLeverage Map, Action Strategy
Tagsno overlap
Information architectureNavigationStructure
ForecastingExpertsDecisionStrategy
Theory of ConstraintsSystems thinkingChange
Systems thinkingChangeStrategy
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