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Criterion
Paper illustration of HEART Framework with its method-specific working model.
UX Research
HEART Framework
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
120 min initial, dann laufend1-3 h30-90 min30-90 min
Participantsdifferent
3-63-82-81-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
HEART-GSM Table, DashboardBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDecision Tree, Option Map, Assumption List
Tagsno overlap
MetricsUX researchMeasurementSatisfaction
FlowMeasurementConstraints
ConstraintsDecisionPlanningOptions
DecisionTreeOptions
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