Symptoms Catalog
Oobeya helps software development organizations identify symptoms and areas for improvement in their development and delivery processes.
Last updated
Oobeya helps software development organizations identify symptoms and areas for improvement in their development and delivery processes.
Last updated
The Oobeya Symptoms module is a powerful tool for detecting and addressing problems in software development and delivery processes. By collecting and analyzing data from a variety of sources, the module is able to identify and alert teams to issues such as recurring anti-patterns, bad practices, and bottlenecks.
The Oobeya Symptoms module includes the following features:
Identification of patterns and trends that may indicate problems or inefficiencies
Alerts and recommendations for addressing detected issues
The Oobeya Symptoms module can help teams improve their software development and delivery processes in the following ways:
By identifying and addressing issues that may be causing delays or inefficiencies, teams can improve their efficiency and productivity
By providing alerts and recommendations for addressing detected problems, the module can help teams take proactive action to prevent future issues
By generating reports at various levels, the module can help teams understand the root causes of problems and identify areas for improvement
The Oobeya Symptoms module currently includes the following symptoms:
Recurring high rework rate (Development Symptom)
Recurring high cognitive load (Development Symptom)
High weekend activity (Development Symptom)
High technical debt on Sonar(Code Quality Symptom)
High vulnerabilities on Sonar (Code Quality Symptom)
High code quality bugs on Sonar (Code Quality Symptom)
Unreviewed Pull Requests (Code Review Symptom)
Lightning Pull Requests (Code Review Symptom)
Oversize Pull Requests (Code Review Symptom)
High Code Review Time (Code Review Symptom)
High Lead Time For Changes (DORA) (Delivery Symptom)
Low Deployment Frequency (DORA) (Delivery Symptom)
High Change Failure Rate (DORA) (Delivery Symptom)
Each symptom includes a description, potential complications, possible causes, improvement areas, and a detection method. By identifying and addressing these symptoms, teams can improve their software development and delivery processes and achieve better outcomes.
