Orangescrum
Documentation index for AI agents (llms.txt). A markdown version of this page is available at /optimization/parallel-task-execution.md or by requesting this URL with the header Accept: text/markdown.
Planning technique

Parallel Task Execution, Explained Properly

Two bars side by side on a plan mean nothing if the same person is on both. Here is how to tell real concurrency from drawn concurrency, and what Orangescrum shows you.

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What is parallel task execution?

Parallel task execution means running pieces of work at the same time rather than one after another, so a project finishes sooner. It only works when two conditions hold together: the tasks do not depend on each other, and different people are doing them. Plans routinely satisfy the first condition and quietly break the second, which is why a schedule full of overlapping bars still slips. Real parallelism is limited by your people, not by your diagram. The technique is to find work that is genuinely independent, confirm that separate people can do it, and accept that everything else is sequential regardless of how the plan is drawn.

Where parallel plans quietly become sequential

  • Two parallel bars, one personThe plan shows two tracks running together through March. Both are assigned to the same developer. The plan was never real, and the overrun arrives in April.
  • The dependency was real after allWork started alongside something it actually needed, so when the earlier decision changed, half of the parallel work was thrown away. Rework costs twice.
  • Coordination cost is left outSplitting work across five people adds handovers, meetings, and merges. Past a certain point each extra person makes the work take longer, not shorter.
  • Everything is started and nothing is finishedMaximum parallelism looks efficient on a board, but a column of items all at eighty per cent delivers nothing. Value only arrives when something is finished.

What Orangescrum actually gives you

Real features, named. Nothing here is an algorithm that decides for you.

Prove the tasks are really independentLink the work that genuinely depends on something else, so the tasks left unlinked are the honest candidates for running at the same time.Task dependenciesSee who is on both tracksA workload heat map flags the person committed to two supposedly parallel pieces of work in the same week. That person is where the plan breaks.Workload heat mapLook at the overlap you have drawnThe timeline shows where work is planned to run together. Drag a task and everything dependent on it moves, so you can test an arrangement before committing.Gantt timelineCheck people before datesAllocation and availability show whether you actually have separate people for each track, which is the condition most parallel plans fail.Resource managementLimit what is in progressA board makes the amount of started work countable. A long In progress column is the clearest sign that concurrency has gone past what the team can carry.Kanban boardNotice when the calendar rules it outTwo tracks cannot run together if the person on one of them is away that week. A shared calendar puts that in front of you at planning time.Project calendar

How to make parallel work real

  1. Separate what must be sequential from what need not beAsk of each task what has to be true before it can start. A surprising amount of ordering in a plan is habit rather than constraint.
  2. Check the assignee on every pair you call parallelThis is the whole test. If the same name appears on both, the two tasks are sequential and your finish date is wrong by the length of the shorter one.
  3. Count the coordination cost before splitting furtherEvery split adds a handover. If a task needs three people to talk daily to stay aligned, giving it to one person for longer is often faster overall.
  4. Cap the work in progressAgree how many items the team may have started at once. Finishing work already begun is nearly always worth more than starting something new.
  5. Re-check the overlap whenever the plan movesOne rescheduled task can push two independent pieces of work onto the same person in the same week. Look at the workload view again after every replan.

What Orangescrum does not do here

Orangescrum does not parallelise anything for you. There is no engine that reads your plan, works out which tasks are independent, and spreads them across the team. What it does is show you where the parallelism you have drawn is not real: the workload heat map flags the person committed to two tracks at once, dependencies record what genuinely cannot overlap, and the timeline shows the overlap you have planned. Rebalancing is a human decision. Dependencies and the Gantt timeline are available in Cloud and Self-Hosted. The workload heat map and resource management are on the Cloud Premium plan and included in Self-Hosted.

Parallel task execution <em>FAQ</em>

Does Orangescrum automatically run tasks in parallel?
No. Nothing in Orangescrum detects independent work or splits it across the team. It shows you the dependencies you have recorded, the overlap you have planned, and the people who are committed to more than one track at a time. Deciding what can genuinely run together is your call.
How do I tell whether two tasks are really independent?
Two questions. Does either need an output or a decision from the other, and are different people doing them. If the answer to the first is no and the second is yes, they are parallel. If either fails, they are sequential no matter how the plan looks.
Does more parallel work always finish sooner?
No. Beyond a point, extra concurrency adds coordination, context switching, and rework faster than it adds throughput. The finish date gets worse while the plan looks better, which is why the effect is usually noticed late.
How do I find the person who is on two parallel tracks?
The workload heat map. It shows total commitment per person per period, so someone booked across two tracks appears as over-allocated rather than as two separate, reasonable-looking assignments.
Which plan or edition do I need for this?
Dependencies, the Gantt timeline, and drag to reschedule are in Cloud and Self-Hosted. The workload heat map and resource management are on the Cloud Premium plan and included in Self-Hosted. The Kanban board and the project calendar are in all three editions.
What is a sensible limit for work in progress?
Start from what the team is carrying now, reduce it by a couple of items, and see whether things finish faster. Most teams find the answer is lower than they expected, often close to one item per person.
Is this the same as critical path?
They are related but answer different questions. Critical path finds the chain that determines your end date. Parallel execution is about which work off that chain can genuinely be done at the same time, which depends on people as much as on logic.

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Related

Gantt chartDependencies and real overlapWorkload managementWho is on two tracks at onceCost-efficient task sequencingOrder work so it costs lessResource-constrained schedulingPlanning around limited people