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Selected:ATAM (Architecture Tradeoff Analysis Method)After-Action ReviewSprint RetrospectiveLearning Review
| Criterion | ![]() Architecture ATAM (Architecture Tradeoff Analysis Method) | ![]() Operations After-Action Review | ![]() Agile Sprint Retrospective | ![]() Operations Learning Review |
|---|---|---|---|---|
Purposedifferent | 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. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | When a sprint is over and friction shouldn't simply be carried forward, it opens the view onto collaboration and patterns. It creates space to see causes and changes together. | After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | Several meetings plus preparation and analysis; total effort depends on scope | 20-45 min | Up to 3 hours for a one-month Sprint; shorter Sprints are usually shorter | 1-3 h |
Participantsdifferent | Evaluation team, architects, and relevant stakeholders | 3-12 | Scrum Team | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations | Lessons learned, Action items, Event summary | Improvement actions, Team agreements | Learning Review Notes, System Factors, Improvement Actions |
Tagsno overlap | ArchitectureQualityRiskTradeoffsStakeholders | LearningOperationsImprovement | RetrospectiveImprovementLearning | LearningRetrospectiveIncidentOperations |



