Managing workload across multiple teams becomes difficult when people, tasks, and projects compete for the same time.
But organizations don't all need the same kind of workload management software.
For some, the main challenge is schedule workload management: seeing what people are working on, when tasks are scheduled, where assignments overlap, and whether the overall project schedule is realistic.
Others also need capacity workload management: planning work in hours, calculating how much working time people actually have available, and comparing resource capacity with planned workload across multiple projects.
Both approaches are useful. But not every organization needs both.
For some teams, detailed capacity planning would add complexity without solving an important problem. For others, particularly organizations sharing specialists across many simultaneous projects, it is essential.
Understanding that distinction is the starting point for choosing the right workload management approach.
Schedule workload management: start with the work
Schedule workload management starts with projects and tasks.
The basic questions are:
What needs to be done?
Who is responsible?
When should the work happen?
Where do assignments overlap?
How does one task affect another?
A shared Gantt schedule is particularly useful for this because tasks, responsibilities, dates, durations, and dependencies can be viewed together.
If one engineer has several major tasks scheduled during the same week, the overlap becomes visible. If one task slips and affects dependent work, the schedule shows the consequence. If several projects compete for attention during the same period, managers can see that pattern across the project portfolio.
This is the workload management model provided by both Starbrix Core and Starbrix Flex.
Projects, tasks, assignees, Gantt schedules, dependencies, Kanban boards, calendars, and portfolio views all use the same underlying project information.
For many organizations, this is enough.
When schedule workload management is enough
Consider a marketing department managing campaigns, website projects, events, and internal initiatives.
The manager primarily needs to know who is responsible for each activity, when it needs to happen, which activities depend on others, and whether too much work appears to be concentrated within the same period.
Trying to estimate every activity in hours and calculate each employee's available capacity might provide additional precision.
But it might also create unnecessary administration.
The same can apply to management teams, HR departments, internal IT teams, product teams, and many other project environments.
In these situations, the schedule itself provides the most useful workload picture.
The goal isn't necessarily to calculate whether someone is allocated at 83% or 91% of theoretical capacity.
The goal is to make work visible and keep the overall schedule realistic.
That is schedule workload management.
When project schedules aren't enough
Now consider an engineering company running 30 customer projects simultaneously.
Several projects require the same mechanical engineers, electrical engineers, designers, or other specialists.
Looking at the Gantt schedule might reveal that an engineer is assigned to several tasks during the same week.
But it doesn't answer a crucial question:
How much work do those tasks actually require?
A task lasting two weeks might require five hours of someone's time.
Another task covering the same two weeks might require 60 hours.
Dates alone cannot tell the difference.
This is where capacity workload management becomes necessary.
Capacity workload management: add planned hours and resource availability
Capacity workload management adds another layer to project scheduling.
Instead of looking only at:
Task → Person → Dates
you also consider:
Task → Planned hours → Person → Available capacity
Suppose Anna has 37.5 working hours available next week.
She already has:
Project A — 8 planned hours
Project B — 16 planned hours
Project C — 20 planned hours
Her total planned workload is therefore 44 hours.
The schedules for all three projects may look perfectly reasonable when viewed separately.
Together, however, they require more time than Anna has available.
That is a problem a Gantt schedule alone cannot reliably identify.
Starbrix Flex therefore extends schedule workload management with capacity planning.
Hour planning and resource capacity in Starbrix Flex
Starbrix Flex allows organizations to plan working hours alongside the project schedule.
Hours can be planned at project and task level and allocated to resources.
Resource availability can take into account factors such as:
- Individual working capacity
- Weekends and public holidays
- Existing assignments
- Hours already planned in other projects
This makes it possible to compare the amount of work being planned with the capacity actually available to perform it.
Instead of asking only:
Who is assigned to this task?
the project manager can ask:
How many hours of work does this task require, and who actually has enough capacity during the required period?
That becomes particularly valuable when the same people work across multiple projects.
Managing workload across multiple projects and teams
Capacity planning becomes most important when resources are shared between projects and teams.
Project A may have a realistic schedule.
Project B may also have a realistic schedule.
Project C may look realistic too.
But if all three projects require the same specialist at the same time, the combined plan may be impossible.
Starbrix Flex can therefore look beyond the boundaries of an individual project and bring planned resource demand together across projects.
This changes the perspective from:
Project → Tasks → People
to:
People → Projects → Planned hours → Capacity
Managers can identify potential resource overload before it turns into a scheduling problem and redistribute work while there is still time.
Let resource capacity influence the project schedule
Capacity planning can go one step further.
Sometimes the schedule determines how working hours need to be distributed.
For example:
24 hours of work must be completed during the next six working days.
But sometimes the workload and available capacity should determine the schedule.
Suppose a task requires 80 hours of engineering work.
With one engineer able to allocate 20 hours per week, the task requires approximately four weeks of available working capacity.
Add another suitably qualified engineer, and the work may be completed sooner.
This creates a direct relationship between three variables:
Required work + Available capacity + Resources = Realistic duration
For organizations where resource availability determines delivery dates, this type of capacity planning can be essential.
Schedule workload management vs. capacity workload management
The important question isn't which approach is more advanced.
It is which approach your organization actually needs.
For organizations where schedule visibility provides enough information to manage workload effectively, detailed capacity planning may simply be unnecessary overhead.
For organizations where people are shared across many projects, specialist resources are scarce, workloads need to be estimated in hours, or resource availability directly affects delivery dates, capacity planning becomes much more important.
Starbrix Core or Flex for workload management?
Both Starbrix Core and Starbrix Flex provide schedule workload management.
They help answer:
What work is planned?
Who is responsible?
When should it happen?
Where does work overlap?
How do tasks and projects fit together?
Starbrix Flex adds capacity workload management.
It helps answer:
How many hours of work are required?
How much capacity does each person have?
What has already been planned in other projects?
Can the available resources realistically perform the planned work?
The difference isn't that one approach is right and the other is wrong.
They solve different levels of the same workload management problem.
Choose the workload management approach you actually need
Good workload management doesn't necessarily mean calculating every employee's utilization to the nearest hour.
For many organizations, that would make project management more complicated without making it better.
A shared and up-to-date project schedule may provide exactly the level of workload visibility the organization needs.
For others, dates and assignments aren't enough. When specialists work across multiple simultaneous projects and delivery depends on limited resource capacity, planned hours and resource availability become essential.
That is why Starbrix supports both approaches:
Starbrix Core and Starbrix Flex provide schedule workload management.
Starbrix Flex adds capacity workload management when the organization needs it.
The goal isn't to use the most advanced resource planning model possible.
It is to use the simplest workload management model that gives your organization enough information to plan work realistically.
