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 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.

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.

Connect

01
Bring Your Engineering Stack Together

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

Measure

02
Calculate Metrics Leaders Can Trust

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

03
Surface What Needs Attention Next

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

01

Track DORA, flow, and deployment behavior without stitching together reports from multiple tools.

Lead TimeDeploy FrequencyChange Fail Rate

Outcome 2

Quality and Risk Context

02

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

03

Understand how coding assistants affect delivery speed, review shape, and engineering quality across teams.

AI UsagePR PatternsEngineering Impact

Outcome 4

Executive-Ready Reporting

04

Give leaders a unified operating view instead of raw dashboards, disconnected exports, and ad hoc slide decks.

Weekly ReviewsOrg TrendsCross-Team Comparisons

Core Capabilities

Built for Engineering Leaders Who Need More Than Dashboards

Oobeya combines engineering metrics, workflow analysis, and actionable signals so leaders can move from reporting to better decisions.

Auto-Detected Symptoms

Capability 1

Auto-Detected Symptoms

Identify recurring anti-patterns, workflow friction, and signals that affect delivery quality before they become leadership surprises.

Development Analytics

Capability 2

Development Analytics

Track engineering throughput, review behavior, and deployment performance with the context leaders need to improve execution.

Project Management Analytics

Capability 3

Project Management Analytics

Understand how planning, backlog flow, and execution patterns affect delivery consistency across teams and organizations.

Accurate DORA Metrics

Capability 4

Accurate DORA Metrics

Measure delivery performance across repositories, CI/CD, and operational signals to avoid misleading single-tool reporting.

AI-Assisted Development Visibility

Capability 5

AI-Assisted Development Visibility

Understand how AI coding assistants affect engineering speed, workflow shape, and quality outcomes with leadership-level visibility.

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.

version: v1.0.