What is workload management? Strategies to improve productivity
Workload management is the process of balancing tasks, priorities, and resources for optimal efficiency.
autora Atlassian
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Effective workload management strategies to improve efficiency
If your team is juggling multiple projects, competing deadlines, and a constant flow of new priorities, how do you fix it?
A common complaint among employees is that they seem to spend more time managing and searching for work than actually doing it. They’re onto something: The 2025 Atlassian State of Teams found a quarter of executives and teams say they spend at least 25% of their workweek searching for information.
What’s worse is 56% of the same group said they can only get the information if they ask someone or schedule a meeting, which is a major blow to any workflow. However, this can be avoided by merely prioritizing your workload management strategy.
By giving teams visibility into who’s doing what and when, workload management helps leaders plan realistically, balance responsibilities, and keep projects on track. It means the workforce is protected from task overload.
In this guide, we’ll explore what workload management entails and how it differs from resource management. We’ll also suggest practical strategies and tools to manage workload, so your team works smarter, not harder.
What is workload management?
Zarządzanie obciążeniem pracą to proces planowania, dystrybucji i śledzenia pracy między zespołami w celu zapewnienia równomiernego przydzielania zadań członkom zespołu, osiągalnych terminów i efektywnego wykorzystania zasobów.
Ideałem jest to, aby nikt nie miał zbyt mało ani zbyt dużo pracy ani nie musiał czekać, aż jego podwładni wykonają to, co im przypada w udziale. Właściwe zarządzanie obciążeniem pracą pomaga zespołom skutecznie ustalać priorytety, przewidywać wąskie gardła i utrzymywać projekt na właściwej drodze.
Na przykład gdy zespół programistów przygotowuje wydanie produktu, kierownik projektu może użyć narzędzi do zarządzania obciążeniem, aby sprawdzić harmonogramy i ocenić obciążenie poszczególnych członków zespołu pracą. Można w ten sposób zauważyć, że jeden programista jest przeciążony, podczas gdy inny wciąż ma rezerwy.
Menedżer może następnie redystrybuować zadania — cały czas w ramach harmonogramu projektu.

Workload management vs. resource management
Workload management and resource management are complementary aspects of running operations. Resource planning, which entails gathering the right people and tools, has to be in place before the workload can be addressed.
Workload management deals with “how” tasks are assigned and ensures they are prioritized and aligned with project goals.
Resource management focuses on “what” is required to perform the work, including the staff, budgets, and materials, and ensures they are appropriately allocated to meet organizational needs.
In effect, workload management is the tactical layer that resource management tools refer to for proper execution. Together, the two concepts form a continuous loop of planning, execution, and optimization.

Why is workload management important?
Teams that manage workloads effectively achieve higher productivity, greater engagement, and better results. A 2024 meta-analysis of studies by Gallup confirmed previous reports that highly engaged teams show 23% greater profitability.
Additionally, other Gallup resources have stated that unreasonable workloads are a major factor in hampering engagement. Here’s why proper workload management matters:
Prevents burnout: By keeping workloads balanced, managers help prevent chronic stress and fatigue.
Boosts productivity: When tasks are clearly prioritized, teams can focus and deliver faster.
Improves transparency: Shared workload visibility fosters collaboration and accountability.
Enhances retention: Employees who feel supported and fairly treated are more likely to stay.
Workload management challenges and how to overcome them
So how do workloads become skewed in the first place?
It usually happens gradually: a few urgent requests here, a change of focus there, until the balance between capacity and demand has slipped. Teams begin to stretch themselves thin and deadlines start overlapping.
Here are a few of the common workload imbalances that can arise in this way—and how to solve them
1. Over-allocation and burnout
Challenge: Team members take on too much work due to unclear capacity limits.
Solution: Use capacity planning tools to visualize workloads and set maximum thresholds per person. For example, a workflow management tool might offer options like Workload Pie Chart and Resource Allocation Reports, which provide a fully transparent overview of the load distribution.
2. Shifting priorities
Challenge: Projects evolve, and priorities can switch from one day to the next.
Solution: Build flexibility into schedules. Use sprint planning and backlog refinement sessions to reallocate resources as priorities change.
3. Out-of-sync updates
Challenge: Without a clear, real-time assessment of progress, bottlenecks go unnoticed until it’s too late.
Solution: Implement dashboards in Jira to monitor workloads, progress, and deadlines. Visual reporting helps teams self-manage more effectively.
10 ways to manage your team’s workload effectively
Workload management is a combination of mindset and method. It starts with the right intention—to cultivate awareness and aim for sustainable performance—coupled with structured planning, regular reviews, and the smart use of automation.
Below are ten actionable strategies, supported by Jira’s built-in tools, that will help your team stay productive and balanced.
1. Assess team availability, skills, and workload
Start by mapping out your team’s capacity and skill sets. Those are the basic building blocks of realistic planning: knowing who’s available and who’s best equipped for certain tasks.
Tools like Jira’s Capacity Planning view or a simple Confluence table can help visualize workloads. Combine this with skills mapping so tasks align with strengths, not just schedules.
Pro tip: Integrate capacity data from Confluence into Jira dashboards to track both time and expertise allocation in one place.

2. Wykorzystaj dane do ustalania priorytetów zadań
Same terminy nie odzwierciedlają celu ani wartości każdego zadania. Ramy postępowania, takie jak RICE (Reach, Impact, Confidence, Effort) lub MoSCoW (Must, Should, Could, Won’t) pomagają ocenić pracę w oparciu o jej oczekiwany mierzalny wpływ.
Narzędzia do ustalania priorytetów oparte na sztucznej inteligencji w Jirze mogą automatycznie oceniać lub zmieniać kolejność działań w oparciu o oczekiwania biznesowe lub znaczenie działań w kontekście ich zależności. Eliminuje to subiektywne preferencje z procesu planowania zadań i prowadzi do położenia większego nacisku na wyniki.
3. Manage your team backlog regularly to prevent task overload
Use backlog management tools to keep workloads manageable. Regular backlog grooming (or refinement) helps you review and remove outdated or duplicate tasks so the team isn’t overwhelmed by clutter.
Jira’s Backlog View automatically organizes tasks by priority and sprint, but also allows manual reorganization by dragging and dropping tasks as needed. You can filter by sprint, team capacity or assignee, and then strategically arrange the workload based on real-time context and on-the-ground knowledge.

4. Distribute work fairly based on skill sets
Use the insights from Step 1 to assign the work correctly. Jira’s Workload Distribution Reports or Resource Allocation will help you identify imbalances early and reassign tasks based on availability or expertise.
This promotes fairness based on real-time data with transparent communication, ensuring everyone operates at a sustainable pace or capacity.
5. Use visual dashboards to track workloads and project progress
Visual dashboards give teams an at-a-glance view of project health. They increase accountability, reduce ambiguity, and simplify reporting.
Jira dashboards can display everything from issue counts and burndown charts to workload heat maps. They’re particularly effective for team retrospectives, helping identify where effort is being spent and how to optimize it moving forward.
6. Automate repetitive or low-value tasks
Automation is one of the simplest ways to reclaim lost time. Identify recurring administrative operations, like updating issue statuses or sending reminders, and configure them to run automatically.
Jira’s AI Work Breakdown and AI Work Create features generate subtasks or draft issue descriptions when triggered, and can even suggest next steps. Automation frees up time for strategic work, but also helps maintain consistency across teams and projects because repetitive steps are executed the same way every time.

7. Build in regular workload reviews and feedback loops
Set recurring check-ins to discuss workloads, priorities, and blockers. These can be lightweight weekly stand-ups or monthly retrospectives, depending on your team’s rhythm.
Encourage open dialogue: ask what’s working, what isn’t, where support is needed, and what that support should look like. Over time, these conversations build trust and make workload adjustments easier to manage collaboratively.
8. Plan for flexibility when priorities shift
In agile environments, change is inevitable: priorities, customer needs, and market conditions evolve faster than any static plan can anticipate. Prepare for this by building buffer time into sprint cycles and using predictive analytics to anticipate workload spikes.
For example, Jira’s Advanced Roadmaps can model “what-if” scenarios, allowing managers to adjust workloads before issues arise or become disruptive. It’s also just as easy to create an issue—with helpful context—into the backlog so teams can understand what the work entails and its priority.

9. Śledź metryki, aby mierzyć wydajność i równowagę
Aby usprawnić zarządzanie obciążeniem pracą, potrzebujesz wglądu w odpowiednie dane. Kluczowe metryki obejmują:
Czas cyklu: jak długo trwają zadania — od początku do końca.
Wydajność: ile zadań jest wykonywanych w danym okresie.
Wskaźnik wykorzystania: procent czasu poświęconego na produktywną pracę, której wynikiem jest wartość dodana.
Pulpit analiz w Jirze lub niestandardowe raporty Confluence mogą mapować te wyniki i identyfikować trendy, by sprawdzić, czy wydajność Twojego zespołu pozostaje zdrowa i zrównoważona.
10. Foster a culture that values sustainable performance
Finally, to instill a workload management mindset, leaders must promote the values of transparency, communication, and respect for personal capacity.
Retrospectives help employees reflect on the value of managing workload balances because they can see how careful planning and proper distribution of effort benefit everyone.
At the same time, in cases of burnout, they can see whether this was due to bottlenecks or stretched capacity. And by dedicating time to these analyses, managers show that they have the employees’ best interests at heart.
3 workload management templates to try
Workload management templates can walk you through the above best practices in a standardized, repeatable way, ensuring the best outcome every time.
Here are three purpose-built templates within the Jira ecosystem that simplify planning, tracking, and optimization for teams of all sizes.
1. Jira sprint backlog template
Perfect for agile teams, the sprint backlog template helps organize sprint work, prioritize issues, and visualize progress. Project backlogs and standard tasks can be filtered by assignee or priority, ensuring a clear picture of who’s working on what, and whether workloads are balanced.
Best for: Scrum teams needing visibility into sprint-level tasks and workloads.
2. Jira top-level planning template
For managing workload distribution across multiple projects, the top-level template provides a comprehensive overview. Managers can track overall progress, balance resources, and identify risks early, without overlap or confusion between projects.
Best for: Program or portfolio managers coordinating several projects simultaneously.
3. Jira task tracking template
Ideal for hybrid or cross-functional teams, the task-tracking template allows for granular visibility into individual workloads when ownership, progress, and dependencies need to be clearly defined. It ensures everyone knows what’s in motion and who’s responsible, aiding accurate planning and smoother coordination across complex team structures.
Best for: Teams seeking transparency and real-time insight into task progress, accountability, and blockers.
How Jira helps teams manage workloads more effectively
Workload management may sound like micromanagement, a term that often carries negative connotations. However, in essence, it’s a way of showing team members how they can benefit from clarity, balance, and continuous improvement.
When they can see what’s on their plate, where their time is going, and how their work connects to bigger goals, the natural response is to perform better.
With Jira, teams gain visibility into capacity and progress, can automate repetitive work, and run analytics that guide smarter decisions. Teams that combine Jira with Confluence learn how to centralize documentation, share reports, and collaborate seamlessly, creating a connected ecosystem for solid results through better planning and execution.
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