Resource Utilization

What is Resource Utilization?

Resource utilization is a measure of how much of a resource's available time is spent on productive or planned work, usually expressed as a percentage of total available hours.

Updated November 2026 · 5 min read


Resource utilization answers a simple question: of the time people have available, how much is actually spent on the work the organization planned for them? A developer available for 40 hours a week who spends 32 hours on project work has a utilization of 80%. The measure can be calculated for individuals, teams, roles or whole departments, and it can focus on all productive work or only on specific categories, such as billable client work or strategic projects. The choice of what to count determines what the measure can tell leaders, so it should be agreed before data is collected.

Utilization is one of the most widely tracked resource measures, especially in professional services firms, where billable utilization drives revenue. It is also one of the most misunderstood. Low utilization can signal wasted capacity, but very high utilization usually signals overload, slower delivery and burnout rather than efficiency. For portfolio leaders and IT finance teams, utilization data shows how well capacity is being used and whether staffing levels match the demands of the portfolio.

Definition of Resource Utilization

Resource utilization is the ratio of time spent on defined work to the total time available, for a person, team or other resource, over a given period.

It is a core measure in resource management and is often tracked in resource management software alongside allocation and capacity data.

Common Utilization Measures

Total utilization measures all productive work, including projects, support and operational tasks, as a share of available time.

Billable utilization, used mainly in professional services, measures only time that can be charged to clients. Firms often set different targets by seniority, since senior staff spend more time on sales and management.

Project or strategic utilization measures the share of time spent on approved projects or strategic initiatives, which shows how much capacity goes to change rather than running existing systems.

Planned utilization uses scheduled assignments, while actual utilization uses recorded time. Comparing the two shows how accurate plans are. Large gaps between planned and actual utilization often point to unplanned work that the plan did not include.

Calculating Utilization

The basic formula divides hours spent on the work being measured by available hours, then multiplies by 100.

Available hours are usually standard working hours minus holidays, leave and sometimes training, although organizations differ in how they define them. Some exclude time for internal meetings and administration, which raises the reported figure without any change in the work.

For example, a person with 160 available hours in a month who records 120 hours on project work has a project utilization of 75%.

Consistent definitions matter more than the exact formula, since utilization is most useful for comparisons over time and between teams.

Importance of Resource Utilization in Strategic Portfolio Management

Utilization shows whether capacity is being used well. Persistently low utilization in a team may mean it is overstaffed or lacks the right work, while persistently high utilization may mean it is a bottleneck. Bottleneck teams slow every project that depends on them, so their utilization deserves particular attention.

It reveals where capacity goes. Measuring the share of time spent on strategic projects, maintenance and support helps leaders see how much of the organization's effort actually goes to change.

It also informs staffing decisions, showing where hiring, retraining or redeployment would improve delivery.

Resource Utilization and Financial Management

People costs are paid whether or not time is used productively, so utilization directly affects the return the organization gets on its labor spending.

In professional services, billable utilization is a key driver of revenue and profitability. Small changes in utilization can have a large effect on margins.

For internal teams, utilization data helps allocate labor costs to projects and services, supporting chargeback, capitalization and cost reporting.

Comparing utilization with the cost of contractors or new hires helps leaders decide whether to add capacity or make better use of existing staff.

Why 100% Is Not the Goal

People need time for meetings, learning, planning and unexpected requests. Scheduling them at 100% leaves no room for any of these.

As utilization approaches 100%, queues form and waiting times rise sharply, so work takes longer even though everyone is busy. Many organizations target 75% to 85% for project work. The right target depends on how variable the work is, with lower targets for teams that handle frequent urgent requests.

Sustained very high utilization increases errors, burnout and turnover, which reduces capacity over time. Losing an experienced specialist can cost far more than the extra output gained by keeping them fully loaded.

How to Measure and Improve Resource Utilization

Measuring and improving utilization involves defining the measures clearly, collecting reliable data, setting sensible targets and acting on the results.

The aim is not maximum utilization but a healthy level that balances productivity with flexibility. Utilization should always be read alongside delivery measures, such as cycle time and the share of work finished on schedule.

Measuring Utilization

Define what counts as available time and what counts as productive or project work, and apply the definitions consistently.

Collect time data through simple, regular time tracking or from resource assignments, accepting some imprecision in exchange for consistency. Asking people to record time weekly by project, rather than by task, keeps the burden low.

Report utilization by team and role rather than only by individual, to avoid encouraging people to record time in ways that look good rather than reflect reality.

Acting on the Results

Investigate teams with persistently low or high utilization to understand the causes, such as poor planning, unclear priorities or skill shortages.

Use utilization data in capacity planning and resource allocation, moving work or people to balance load.

Set targets that leave room for support, learning and unexpected work, and review them as the nature of the work changes.

Examples of Resource Utilization in Strategic Portfolio Management

The examples below show utilization data in practice.

Both use illustrative figures. The first finds hidden support work, and the second balances utilization across teams.

In each, utilization data changed how capacity was managed.

Finding Hidden Support Work

An IT department plans its project portfolio assuming that developers spend 80% of their time on projects.

Time data shows that project utilization averages only 55%, because developers spend much of their time supporting existing systems.

The department adjusts its capacity plan to reflect the real figure and starts a program to automate common support tasks. Within a year, project utilization rises to 65% and project schedules become more reliable.

Balancing Load Across Teams

A consulting firm finds that its data analytics practice runs at 95% billable utilization while its technology strategy practice runs at 60%.

It retrains several strategy consultants in analytics methods and moves some analytics work to them.

Analytics utilization falls to a sustainable 82%, strategy utilization rises to 72%, and the firm takes on more analytics work without new hires.

Conclusion

Resource utilization measures how much of a resource's available time is spent on productive or planned work. Common measures include total, billable, project and planned utilization, each calculated as a share of available hours.

In strategic portfolio management, utilization shows whether capacity is being used well, reveals where effort goes and informs staffing decisions. Defining measures consistently, collecting reliable data, setting targets below 100% and acting on the patterns the data reveals help organizations make better use of their people.