Symptoms Catalog
Oobeya helps software development organizations identify symptoms and areas for improvement in their development and delivery processes.
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
Oobeya Team Health and Symptoms
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:
- 1.Recurring high rework rate (Development Symptom)
- 2.Recurring high cognitive load (Development Symptom)
- 3.High weekend activity (Development Symptom)
- 4.High technical debt on Sonarqube (Code Quality Symptom)
- 5.High vulnerabilities on Sonarqube (Code Quality Symptom)
- 6.High code quality bugs on Sonarqube (Code Quality Symptom)
- 7.Unreviewed Pull Requests (Code Review Symptom)
- 8.Lightning Pull Requests (Code Review Symptom)
- 9.Oversize Pull Requests (Code Review Symptom)
- 10.High Lead Time For Changes (DORA) (Delivery Symptom)
- 11.Low Deployment Frequency (DORA) (Delivery Symptom)
- 12.High Change Failure Rate (DORA) (Delivery Symptom)
No # | Smyptom | Symptom Source |
|---|---|---|
S1 | Gitwiser - Git Analytics (VCS tools) | |
S2 | Gitwiser - Git Analytics (VCS tools) | |
S3 | Gitwiser - Git Analytics (VCS tools) | |
S6 | Sonar | |
S7 | Sonar | |
S8 | Sonar | |
S9 | Gitwiser - PR Analytics (VCS tools) | |
S10 | Gitwiser - PR Analytics (VCS tools) | |
S11 | Gitwiser - PR Analytics (VCS tools) | |
S12 | Gitwiser - DORA Metrics (VCS + CICD + APM/IM tools) | |
S13 | Gitwiser - DORA Metrics (VCS + CICD + APM/IM tools) | |
S14 | Gitwiser - DORA Metrics (VCS + CICD + APM/IM tools) |
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.
Last modified 4mo ago