Gain visibility into how your engineering resources is distributed and used across projects.
Struggling with overloaded developers and underused team members?
You’re not alone. Misaligned resource distribution silently kills team efficiency — delaying delivery, increasing burnout, and wasting potential.
Balance your teams, understand workload distribution, and identify inefficiencies across internal and outsourced contributors. Oobeya helps you visualize effort and capacity across the entire organization, enabling data-driven planning and smarter investments.
1
Spot underused or overloaded teams instantly
Gain a clear view of workload distribution to identify burnout risks or underutilized teams — before they impact delivery or morale.
2
Evaluate third-party performance with data
Track contributions and impact from external vendors or contractors to ensure accountability and alignment with internal teams.
3
Align hiring, outsourcing, and project planning
Use real-time insights to guide team expansion, reallocation, or vendor decisions — based on actual capacity and business needs.
Before using the Resource Allocation module, make sure the following conditions are met:
Project Management tool integration is active: The module pulls data from the project management tools like Jira or Azure Boards via Oobeya's AgileSpace module.
Projects are analyzed on AgileSpace: Ensure your Jira or Azure Boards projects are being actively analyzed in AgileSpace.
Contributor Profiles are created: Every contributor involved in project delivery work must have a contributor profile in Oobeya.
Accounts are merged (if needed): Duplicate Jira/Azure Boards accounts should be merged to avoid miscalculations.
Relevant roles are configured: Only selected roles (e.g., Developer) are included in allocation calculations. Roles can be managed via Administration > Resource Allocations. See the details.
Exclude unnecessary work item types: Go to Administration > AgileSpace > Work Item Type Exclusion to exclude irrelevant work item types (e.g., questions, comments) from the analysis to improve accuracy.
