The allocation sheet was the easiest part of planning. Priya, 100% on checkout. Marco, 50%, shared with the platform team. Dana, the only person who really knows the tax engine, 80% for weeks two to six. The team looked at the sheet, looked at the backlog, voted four fingers, and committed the release for 12 March.
In week two the platform team asked to borrow Marco “just for this sprint,” and 50% became 20%. In week four Dana spent three days on a customer escalation. In week five a new engineer joined “at 100%” and spent half of it learning the codebase. Nobody edited the sheet. Nobody added an issue. The release shipped six days late, and the allocation sheet still said exactly what it said on vote day.
What resource allocation in project management is
Resource allocation in project management is the decision about which people, time and equipment go to which work, so the highest-priority work gets done first. On a software release it usually comes down to three columns: who, what share of their time, and which weeks.
Making that decision is expert engineering judgment. The team knows who can carry the tax engine, who is half-committed to platform work, and which weeks are already spoken for. That allocation is the capacity assumption underneath the confidence vote. When the team says “four fingers,” part of what they are saying is “with these people, at these shares, in these weeks.”
Allocation is decided once. Reallocation happens every week.
The allocation is set at planning. After the vote, it is renegotiated in small moves that nobody treats as a re-plan.
Loans. “Can we borrow her for a week?” is the most common capacity change in software, and the one least likely to be written down. Each loan is reasonable. Together they are a different team from the one that voted.
Pull-aways. An escalation, an audit, a pre-sales demo. The person stays on the roster, so the sheet still shows them, but the hours went somewhere else.
Split percentages. A person at 50% on two teams rarely delivers two clean halves. Switching costs, and the more urgent team tends to win the week.
Additions that start slow. A new hire allocated at 100% delivers well below that while they ramp up, and takes mentoring time from the people around them.
None of these adds an issue to the release. Scope looks flat. The plan records the allocation, not the change, and no one asks what the change costs the date. That is a capacity change, the third of the three things that erode a committed release date. The other two travel with it: the person on loan was often the one who would have spotted a late dependency, and the work they leave behind tends to grow while they are away.
Keep the allocation. Price the reallocation.
The answer is not a more detailed allocation sheet. It is a habit of putting every change where the forecast can see it, before it takes effect.
- Allocate at planning the way you do today. Write the committed date and the confidence level the team voted at into the allocation plan, as the assumption the allocation supports.
- When someone is loaned or pulled away for a known period, record that period as time off against their Jira account before the change starts, and read the re-forecast first. The loan becomes a decision with a number on it.
- For ongoing split allocations, stop re-typing percentages. Point the plan at the throughput window the forecast uses. Delivered throughput already reflects the allocation the team actually achieved.
- At every sprint boundary, read the gap in days between the committed date and the forecast at the committed confidence.
An illustration, not customer data. A release is committed for 12 March at 85% confidence. At the vote the 85% forecast sits at 9 March: three days of margin. In week two the days Marco spends on the platform team are recorded as time off against his account; in week four Dana’s three escalation days are recorded as time off. No issues were added. The 85% forecast moves to 15 March, three days past the commitment. The 50% forecast is 11 March, so the release reads amber (attention), not yet red.
Now the next planning conversation has a price tag. Bring Marco back a sprint early? Cut a could-have at the MoSCoW cut-line? Renegotiate the date while there is margin left to trade? Each option is the team’s call, and so is every assumption behind the forecast. What changes is that the call happens in week two, when the loan is requested, not at the release demo.
Where Advanced Release Planning fits
Advanced Release Planning for Jira does not store or enforce allocation percentages, skills, or cross-project assignments, and it is not a resource-management system. It reads the inputs an allocation change turns into: the Jira user accounts assigned to the release’s issues, time off recorded per person, per day, against those accounts, holiday calendars imported per team, and the team’s delivered throughput and work in progress, folded into the Monte Carlo forecast through the Capacity Awareness setting. When availability changes, the committed date is re-forecast and the shift is reported in days. A loan that is not recorded still registers, later, through throughput as the affected work slows. The committed date carries its confidence band (50%, 85%, 95%) and stays current as scope, dependencies and capacity move. The team sets the assumptions: which throughput window, whose capacity, what is in scope. The app does the arithmetic at Monte Carlo scale and keeps it live. Green at or above P85, amber between P50 and P85, red below P50.
Allocation usually lives inside a wider plan; see what the resource management plan governs and what it never prices. For the chart many teams use to spot overload at planning, see the resource histogram. For exactly what the app reads from each capacity input, see the capacity change tracking reference doc.
Key takeaways
- Resource allocation is expert engineering judgment and the capacity assumption behind the confidence vote.
- After the vote, allocation changes through loans, pull-aways, split percentages and slow-starting additions. None adds an issue, so scope looks flat while the committed date moves.
- Record a loan or pull-away as time off against the person’s Jira account before it starts, and read the re-forecast first.
- Read the gap in days between the committed date and the forecast at the committed confidence at every sprint boundary, not the percentages written on vote day.
FAQ
What is resource allocation in project management?
Deciding which people, time and equipment go to which work, and when, so the highest-priority work is staffed. On a software release it is usually a list of who works on the release, what share of their time, and in which weeks.
What is an example of resource allocation?
Assigning one engineer full-time to checkout, a second at 50% shared with the platform team, and a specialist at 80% for weeks two to six of a release.
How do you track resource allocation changes in Jira?
Jira does not hold allocation percentages on its own. Record a loan or pull-away as time off against the affected person’s account for the period concerned, so a capacity-aware forecast picks it up before it happens, and read the shift in days against the committed date.
Keep your allocation plan. Add the number it is missing. See the committed date and its live confidence band in Advanced Release Planning, or start a free trial on the Atlassian Marketplace.
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