What Is Employee Utilisation Rate?
Employee utilisation rate tells you how much of your team's paid time is being spent on productive, billable, or value-adding work. Here's how to measure and improve it.
Key Takeaways
- Utilisation rate = productive hours ÷ available hours × 100
- For service businesses, 70–80% is typically a healthy target — 100% is unsustainable
- Low utilisation signals underuse of capacity; high utilisation signals burnout risk and zero slack for growth
- Track utilisation by role and team, not just company-wide, to see where the bottlenecks really are
The basic formula
Employee utilisation rate is calculated as: (productive hours ÷ available hours) × 100. If a team member works 40 hours per week and spends 30 of those on billable client work or direct value-adding tasks, their utilisation rate is 75%. Available hours is typically contracted hours minus statutory leave — not actual hours worked, which would make overwork invisible in the metric.
What counts as productive time
The definition varies by business type. For a consultancy, billable client hours are productive. For a software development team, productive time includes feature development, bug fixing, and code review — but not internal meetings, admin, or recruitment. The key is to define this clearly before measuring, so the denominator is consistent and the number is actionable.
What is a healthy utilisation rate
For most service and professional services businesses, 70–80% is the healthy target range. Below 65% suggests you have more capacity than work — either a pipeline problem or an overstaffing problem. Above 85% sustained is a warning sign: there is no slack for training, sick days, or unexpected work, and quality typically suffers. Utilisation of 100% is mathematically impossible to sustain and indicates the data is being gamed.
How to use it in capacity planning
Utilisation rate feeds directly into hiring decisions. If your team is consistently at 85%+ utilisation and your pipeline is growing, you have a quantitative case for a new hire before people burn out. If utilisation is 55%, you have a sales problem before a headcount problem. Tracking utilisation weekly, by team and role, makes these decisions evidence-based rather than reactive.