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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
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.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.
Complexitydifferent
MediumHighLowMedium
Timedifferent
30-90 minSeveral meetings plus preparation and analysis; total effort depends on scope45-90 min15-60 min je Zyklus
Participantsdifferent
1-6Evaluation team, architects, and relevant stakeholders3-121-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsForce Field Map, Change Levers, Risk NotesSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
DecisionTreeOptions
ArchitectureQualityRiskTradeoffsStakeholders
ChangeDecisionStrategy
DecisionChangeLearningStrategy
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