Software Engineering Intelligence Platform
Follow changes from development to production. Investigate review delays, delivery risks, AI impact, and quality trends alongside AI adoption and usage.
Oobeya is recognized in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms.Read moreCloud, on-premise, or air-gapped deploymentA selection of the organizations using Oobeya
Team performance, quality trends, and active symptoms.
Engineering performance at a glance
| Member | Impact Ratio | Coding Efficiency | AI Code Share | Work distribution | New Work | Refactor | Help Others | Churn |
|---|---|---|---|---|---|---|---|---|
 Maya PatelSeniorGo to Individual Scorecard | 2.4x | 94% | 36% | 52% | 25% | 17% | 6% | |
 Alex MorganMidGo to Individual Scorecard | 1.6x | 92% | 48% | 38% | 34% | 20% | 8% | |
 Sam TaylorMidGo to Individual Scorecard | 0.8x | 80% | 76% | 47% | 18% | 15% | 20% | |
 Jordan LeeJuniorGo to Individual Scorecard | 0.6x | 72% | 84% | 20% | 30% | 22% | 28% |
Coding efficiency recovered to 95.01%, above the company average.
The decisions behind the dashboard
14 merged PRs without review
18h 24m average review time
Follow reviews, pipelines, and releases. Investigate the recurring symptoms behind delivery trends.
Find delivery bottlenecksPR time to merge ↓ 13.8%
Read AI adoption, attribution, quality, and costs alongside engineering outcomes.
Evaluate AI ImpactMaya PatelAlex MorganSam TaylorReview contribution, work distribution, coding efficiency, and AI code share together.
Explore Team PerformanceCustomer stories
Selected customer stories and use cases across engineering teams, industries, and toolchains.
Customer story
Connects 3,000+ developers and 10,000+ repositories in one view of delivery, governance, and productivity.
Use Case
Compares delivery performance across around 100 teams in 10+ countries using consistent tribe-level metrics.
Use Case
Aligns DevOps standards and AI metrics across 4,000+ developers and multiple group companies.
“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.”
Delivery performance
Separate production releases from other deployments. Follow lead time through development, waiting, and deployment to find the stage that needs attention.
AI-assisted development
See where AI is used, what it costs, and how engineering outcomes change. Connect attribution and usage with review, rework, and delivery performance.
Compare assistant usage with merge time, coding efficiency, and quality trends.
AI ImpactTrace code origin in your Git workflow. Blamely can run locally, including in air-gapped environments.
AI AttributionTrack Codex and GitHub Copilot spending alongside usage and engineering outcomes.
Usage & Cost MonitoringHow it works
Connect your tools, bring the engineering context together, and follow the signal into the work.
Your engineering tools
Engineering context
oobeya.ioBring together the engineering systems your teams already use.
Map teams, repositories, and production pipelines.
Investigate changes, add developer feedback, and follow the next action.
Deployment and enterprise readiness
oobeya.ioEngineering contextManaged platform. Your connected engineering workflow.
Use Oobeya’s managed cloud service and connect your engineering tools. Review access and data requirements with our team.
Discuss cloud deploymentReview identity, access, and data handling with your security and infrastructure teams.
Visit the Trust CenterReview plans and pricing. Microsoft Marketplace is the recommended option for organizations using Microsoft procurement.
View plans and pricingOobeya is a Software Engineering Intelligence Platform. It connects repository, work tracking, pipeline, quality, testing, and AI development signals so engineering teams can review delivery and improvement decisions together.
Start with the questions that matter to your team: delivery delays, review bottlenecks, team work distribution, AI impact, or AI spending. We can focus the walkthrough on that workflow and the systems you use.
Yes. Oobeya connects supported source control, work tracking, CI/CD, quality, testing, and AI tools. Confirm the available integrations and data coverage for your stack before planning the rollout.
Review adoption and usage alongside coding efficiency, merge time, quality, and rework trends. Blamely adds code-origin context through AI attribution. AI Cost provides spending visibility for Codex and GitHub Copilot, alongside available consumption signals.
Production-aware DORA metrics let teams designate production pipelines and measure deployment frequency and change lead time separately from non-production deployments.
Yes. Oobeya supports cloud, on-premise, and air-gapped deployment. Plan access to the engineering data sources available in your environment. Blamely can also run locally, including in air-gapped environments.
Review plans and pricing for the capabilities you need. Microsoft Marketplace is the recommended purchase option for organizations using Microsoft procurement. Discuss deployment scope and commercial requirements with our team.
Share your engineering questions, the tools your teams use, and any deployment or security requirements. A specific example, such as a review queue or an AI investment question, helps focus the conversation.
See Oobeya in practice
Tell us about your toolchain and the decisions you need to make. We’ll focus the walkthrough on delivery bottlenecks, team performance, or AI impact.
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Claude
GitHub Copilot
Codex
