What is the staff utilization target?

Staff utilization target is the planned percentage of available hours that consultants should spend on billable client work, used for capacity planning, revenue forecasting, and performance management. Targets vary by role: senior staff have lower targets (55-65%) to allow for business development and management; junior staff have higher targets (80-85%) focused on delivery. Setting appropriate targets balances revenue goals against sustainable workload and necessary non-billable activities.

Key characteristics

• Expressed as a percentage of available hours on billable work

• Varies by role: Partners (50-60%), Managers (65-75%), Staff (75-85%)

• Used for capacity planning and revenue forecasting

• Balance between revenue goals and sustainable workload

• Should account for PTO, training, and administrative needs

• A performance management tool, when combined with tracking

Why it matters for professional service firms

Utilization targets set expectations and enable planning. Without targets, some consultants may be overworked while others underperform, and revenue forecasting becomes guesswork. Appropriate targets also signal what non-billable time is expected: a manager with 70% target has 30% for training, mentoring, BD support, and administration. Unrealistic targets (85%+ for everyone) lead to burnout, quality problems, and ultimately turnover. Well-set targets enable sustainable performance and accurate forecasting.

Real-world example

Marcus set 80% utilization targets for all consultants regardless of level. Partners consistently missed targets (averaging 58%) while junior staff exceeded them (averaging 87%). Partners felt like failures; junior staff burned out. Role-based targets were implemented: Partners: 55%; Directors: 65%; Managers: 75%; Senior Consultants: 80%; Consultants: 85%. Partners now had explicit time for BD and strategy; junior staff had sustainable workloads. Firm-wide average utilization remained similar, but morale improved, turnover decreased, and revenue forecasting became accurate because targets matched reality.