See workload balance
Understand whether teams and contributors are underutilized, balanced, slightly overloaded, or overloaded.
RESOURCE ALLOCATION
Resource Allocation Software for Engineering Teams
Oobeya helps engineering leaders understand where capacity is going, which teams are overloaded, and how effort is distributed across projects using real delivery data from connected tools.
Workload visibility Project allocation Capacity planning
Capacity clarity
Replace allocation guesswork with observable engineering signals
Resource Allocation connects planning data, contributor profiles, and delivery activity so capacity conversations can be grounded in evidence.
Compare project focus
Track how contributor effort is distributed across initiatives, products, and delivery priorities.
Plan with live data
Use data from Jira, Azure Boards, AgileSpace, and contributor profiles instead of manually maintained allocation sheets.
What you can measure
Utilization and allocation in one operating view
The module helps leaders see both how full teams are and how their effort is split across projects. That makes planning, prioritization, and staffing discussions more concrete.
Resource utilization
Shows how planned work compares with delivery capacity, helping leaders spot overloaded or underloaded contributors.
Project allocation
Shows what percentage of a contributor's planned effort is assigned to each project or initiative.
Team capacity
Summarizes total resources, project load, utilization by effort, and utilization by item count.
Allocation status
Classifies workload into practical thresholds so teams can discuss capacity with a shared language.
Utilization Status
Make capacity pressure visible before it becomes delivery risk
Oobeya groups utilization into practical workload states so managers can quickly see which teams need more work, which teams are healthy, and where capacity is becoming unsustainable.
Underutilized
Below expected capacity
Capacity is available and may be redirected to higher-priority work.
Balanced
Healthy workload
Workload is aligned with available capacity and delivery expectations.
Slightly overloaded
Needs attention
Capacity pressure is increasing and should be reviewed before it affects flow.
Overloaded
High delivery risk
Workload is above a sustainable level and may create delays, rework, or burnout.
Resource allocation in Oobeya
