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| Criterion | ![]() Knowledge Modeling Domain Storytelling | ![]() Operations Kepner-Tregoe | ![]() Decision Making Constraint Analysis | ![]() Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. | 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 a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Low | High | Low | Low |
Timedifferent | 1-2 h | 2-8 h | 30-90 min | 15-30 min |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Problem Analysis, Decision Analysis, Risk Plan | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Root cause notes, Countermeasures |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | Problem solvingRoot causeDecisionOperations | ConstraintsDecisionPlanningOptions | Root causeIncidentLeanProblem solving |



