1. Connect
Connect your engineering tools
Bring repositories, work items, pipelines, and quality signals into a shared data model.
Explore integrationsSoftware Engineering Intelligence Platform
Connect delivery, quality, and AI impact
Oobeya brings Git, work tracking, CI/CD, quality, and AI coding signals into one view. Understand where delivery slows down and what needs your team’s attention.
How Oobeya works
From engineering data to a shared decision
2. Measure
Measure with delivery context
Review DORA, flow, quality, and AI Impact alongside the workflow behind each trend.
Explore engineering metrics3. Improve
Choose an improvement and follow it
Investigate recurring symptoms, agree on a team action, and track how delivery changes.
Explore delivery symptomsSee the platform in practice
Watch how engineering signals come together in Oobeya, then explore the interactive product tour.
Open the product tour →Platform capabilities
Explore the signals behind engineering performance
Start with the questions your team needs to answer. Connect delivery, AI, quality, and capacity through the same engineering data.
Delivery and engineering performance
- Engineering MetricsLearn the measurement model behind delivery, flow, planning, quality, developer experience, and AI-assisted development signals.
- DORA MetricsReview delivery performance with production-aware metrics and workflow context.
- SymptomsSurface delivery friction across code review, testing, and release workflow signals.
- Engineering BenchmarksCompare teams against benchmark levels and set improvement targets with shared context.
AI adoption and attribution
- AI Coding Assistant ImpactCompare Codex, Copilot, Cursor, and Claude adoption with delivery and quality. Monitor AI costs for Claude, Codex, and Copilot.
- AI Attribution with BlamelyTrack AI-generated code, AI or human origin signals, Git context, and downstream engineering impact.
- AI InsightsTurn engineering dashboards into executive summaries, risks, strengths, and next-best actions.
Team flow and quality
- Developer ProductivityMeasure productivity through team outcomes, workflow friction, quality, developer experience, and AI impact context.
- SPACE MetricsUse SPACE to balance productivity measurement across satisfaction, performance, activity, collaboration, and flow.
- Resource AllocationSee workload balance, bottlenecks, and sustained over-allocation signals.
- Activity HeatmapVisualize team activity patterns and workflow intensity over time.
- Test AnalyticsUnderstand test efficiency, failure patterns, and QA signal coverage.
- Bug / Defect AnalyticsTrack bug and defect trends, severity, ownership, and engineering follow-up.
- GamificationTranslate KPIs into visible team goals that reinforce healthy engineering habits.
Integrations and ecosystems
Customer perspectives
How engineering teams use Oobeya
“According to our POC evaluations around IT productivity measurement, Oobeya was the tool that best met our expectations. Its integration flexibility, Symptoms capability, and DORA metrics gave us visibility across nearly 4,000 developers and helped us clearly see inefficient points, including outsourced projects.”
Turkcell · Telecommunications
“What stands out the most with Oobeya is its depth of analysis and insights. It provides automated recommendations based on our team's activity, and the integration with tools like Azure DevOps and SonarQube makes the transition seamless.”
TEB (BNP Paribas) · Banking
“Oobeya provides a comprehensive overview of our SDLC. We can see a wide range of metrics crucial for engineering efficiency by collecting data from different sources like version control, issue management, and deployment tools.”
Invicti · Cybersecurity
“We use Oobeya effectively in measuring our software development processes. We can manage our processes better by evaluating the outputs it produces. You cannot manage data that you cannot measure.”
Etiya · Telecom Software
“We can easily track the squads and the projects. It is a very talented engineering intelligence platform that we can observe the team's productivity and motivation with DORA Metrics.”
Edenred · Fintech / Employee Benefits
“Oobeya's onboarding process was impressively smooth. The support team is highly responsive, and the automatic detection of issues with actionable suggestions has been invaluable for a busy development team.”
Experilabs · Software & Innovation
From signals to decisions
One engineering view, different decisions
Use shared evidence across leadership reviews, platform improvements, and team retrospectives.
Executives
Connect engineering investment, delivery risk, and AI adoption to business priorities.
Engineering leaders
Review delivery confidence, team capacity, and the effect of engineering initiatives.
DevOps and platform teams
Investigate review queues, pipeline friction, and the path from commit to production.
Agile coaches
Bring flow, quality, and recurring workflow symptoms into team improvement conversations.
Deployment and governance
Plan a rollout that fits your environment
Evaluate your deployment model, integration scope, and access requirements with your engineering and security teams.
What is Oobeya?
Oobeya is a Software Engineering Intelligence Platform. It connects delivery, quality, workflow, capacity, developer experience, and AI-assisted development signals across engineering tools.
How is it different from a DORA dashboard?
DORA metrics describe delivery performance. Oobeya adds pull request flow, quality, testing, resource allocation, and recurring symptoms to help teams investigate changes in those metrics.
Can we connect our existing tools?
Yes. Connect supported source control, work tracking, CI/CD, quality, testing, and AI coding tools. Review the integration catalog for your specific stack.
How does Oobeya measure AI coding assistant impact?
Review adoption and usage alongside delivery, review, quality, and cost trends. Use the surrounding engineering context to evaluate changes over time.
What does AI Attribution with Blamely add?
Blamely adds code-origin context for AI-generated, AI-assisted, and human-authored changes. Oobeya connects attribution to pull requests, review flow, quality, and team-level AI Impact.
Can teams use it for continuous improvement?
Yes. Teams can use workflow symptoms, flow metrics, and quality trends to choose improvements and track progress through reviews and retrospectives.
What deployment and access options are available?
Review managed SaaS, on-premise, or private-cloud deployment alongside your SSO, RBAC, audit, and data residency requirements.
How do we get started?
Start with your toolchain, deployment requirements, and a focused set of delivery or AI evaluation questions. The rollout timeline depends on access readiness and integration scope.
See Oobeya in practice
Start with your engineering questions
Explore delivery, quality, and AI impact in a walkthrough tailored to your tools and teams.