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Criterion
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
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.Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.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.
Complexitydifferent
MediumLowLowLow
Timedifferent
1-3 h1-2 h10-20 min daily30-90 min
Participantsdifferent
3-82-812-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Bottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresDomain Story, Glossary Notes, Process NarrativeDaily Plan, Time Estimates, Review NotesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
FlowMeasurementConstraints
KnowledgeDomain-Driven DesignProcess
PlanningTime managementProductivityOperations
ConstraintsDecisionPlanningOptions
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