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Criterion
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration for Learning Review.
Operations
Learning Review
Purposedifferent
After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.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.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
MediumMediumLowMedium
Timedifferent
30-90 min2–4 h review as a planning range; preparation and evaluation additional20-45 min1-3 h
Participantsdifferent
3-12Designers, developers as users, and facilitation3-123-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Postmortem Doc, Action Items, TimelinePrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsLessons learned, Action items, Event summaryLearning Review Notes, System Factors, Improvement Actions
Tagsno overlap
Site Reliability EngineeringIncidentLearningReliability
ArchitectureEngineeringFeedbackValidationTasks
LearningOperationsImprovement
LearningRetrospectiveIncidentOperations
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