Connect
Bring Your Engineering Stack Together
Bring together repositories, issue trackers, pipelines, and operational signals into a single engineering data model.
Outcome: shared engineering context across tools
Engineering Intelligence Platform
One Platform for engineering visibility
Oobeya connects delivery, workflow, quality, and AI-assisted development signals into one operating layer that engineering leaders can actually use.
Unified SDLC signalsTeam-level metricsAI impact clarityResource allocation
Unified view
See repositories, boards, pipelines, incidents, and AI usage in one platform surface.
Leadership signal
Turn operational noise into reliable metrics, symptoms, and action-ready insights.
AI chat
Ask Oobeya for engineering context, emerging risks, and leadership-ready summaries across your stack.
Deployment model
Run Oobeya as fully on-premise or SaaS, depending on your governance, security, and procurement needs.
Core Capabilities
Start from the pages that match your current priority
Explore the core Oobeya capabilities engineering leaders and platform teams use to improve delivery outcomes.
Ask Oobeya
AI Chat
Ask Oobeya plain-language questions about delivery, quality, team health, DORA, and AI-assisted work.
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AI Summary
AI Insights
Turn engineering dashboards into executive summaries, risks, strengths, and next-best actions.
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AI Impact
AI Coding Assistant Impact
Track Copilot, Cursor, and Claude adoption against delivery, quality, and DORA outcomes.
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AI Attribution
IDE Plugin
Capture AI-assisted code origin signals from the IDE and connect them to engineering intelligence.
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Symptoms
Symptoms
Surface delivery friction across code review, testing, and release workflow signals.
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Benchmarks
Engineering Benchmarks
Compare teams against benchmark levels and set improvement targets with shared context.
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DORA
DORA Metrics
Measure lead time, deployment frequency, change failure rate, and MTTR with trust.
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Resource
Resource Allocation
See workload balance, bottlenecks, and sustained over-allocation signals.
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Heatmap
Activity Heatmap
Visualize team activity patterns and workflow intensity over time.
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Testing
Test Analytics
Understand test efficiency, failure patterns, and QA signal coverage.
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Bug / Defect
Bug / Defect Analytics
Track bug and defect trends, severity, ownership, and engineering follow-up.
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KPI Alignment
Gamification
Translate KPIs into visible team goals that reinforce healthy engineering habits.
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Microsoft
Microsoft Ecosystem
Connect Azure DevOps, GitHub, Entra, and Microsoft workflows in one view.
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SonarQube
SonarQube Ecosystem
Turn code quality and security findings into accountable improvement actions.
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Integrations
Integrations Catalog
Connect Git, boards, CI/CD, quality, identity, and AI tools into one dataset.
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How Oobeya Works
Turn Engineering Activity Into Leadership Clarity
Oobeya connects the operational data behind software delivery, transforms it into measurable indicators, and highlights where leaders should focus next.
01
Measure
Calculate Metrics Leaders Can Trust
Calculate DORA, flow, productivity, and quality indicators with cross-tool context instead of isolated point metrics.
Outcome: reliable signals for leadership review
Act
Surface What Needs Attention Next
Surface recurring bottlenecks, risky patterns, and leadership-ready signals so teams can act on what matters most.
Outcome: clearer priorities for action and follow-up
What Leaders Get
A Better Operating View for Engineering Leadership
Oobeya is built to reduce reporting overhead, increase signal quality, and give engineering leaders a more actionable view of how delivery is really working.
Outcome 1
Delivery Visibility
Track DORA, flow, and deployment behavior without stitching together reports from multiple tools.
Lead TimeDeploy FrequencyChange Fail Rate
Outcome 2
Quality and Risk Context
See quality signals and workflow friction together so engineering issues are easier to prioritize correctly.
Code QualityReview FrictionOperational Risk
Outcome 3
AI-Assisted Development Insight
Understand how coding assistants affect delivery speed, review shape, and engineering quality across teams.
AI UsagePR PatternsEngineering Impact
Outcome 4
Executive-Ready Reporting
Give leaders a unified operating view instead of raw dashboards, disconnected exports, and ad hoc slide decks.
Weekly ReviewsOrg TrendsCross-Team Comparisons
Customer Reviews
How teams describe Oobeya in practice
Real customer feedback on visibility, integrations, onboarding, and the value of having one engineering intelligence layer across the SDLC.
★★★★★
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.
A. D.
Engineering Leader · Turkcell
Telecommunications
Based on G2 and Gartner reviews
Ready to See It in Action?
Replace Manual Engineering Reporting With a Clear Operating View
Connect your existing toolchain, surface the metrics leaders actually trust, and give teams a faster path from data to improvement.
Platform FAQ
Questions teams ask when evaluating Oobeya
Clear answers for engineering leaders comparing platforms, evaluating governance fit, and asking why Oobeya is different from traditional metric dashboards.
Oobeya is an engineering intelligence platform that connects delivery, quality, workflow, and AI-related signals into one operating view. Teams use it to replace fragmented reporting with clearer visibility into what is slowing engineering performance down and where leaders should act.
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Oobeya, Inc. @ 2026 2513 Shallowford Rd. #200 Suite 232, Marietta, GA 30066 USA