Your team billed 60 hours this week. That sounds productive until you realise they had 100 available hours. The 40-hour gap is margin you won’t recover.
Across the industry, billable utilisation fell from 73.2% in 2021 to 68.9% in 2024 [1], the lowest in over a decade. EBITDA margins dropped to 9.8% [1] in the same period. The decline has been consistent year-on-year, with firms still tracking utilisation inside spreadsheets feeling it worst.
At Magnetic, we work with professional services firms facing this tension. We see data across agencies, consultancies, and engineering firms, and the patterns challenge common assumptions. The firms with the healthiest utilisation are not always those that track most aggressively. They are the ones whose data is connected enough to act before problems compound.
This guide covers the calculation, current benchmarks, why the old 75% target no longer applies, and seven strategies that tackle fundamental causes rather than symptoms.
Utilisation rate measures the percentage of your team’s available working hours spent on billable, revenue-generating work. In professional services, where time is the product, it shows how effectively you convert capacity into revenue.
Two types worth understanding:
This guide focuses on billable utilisation unless stated otherwise. It is the number that connects directly to your margins.
For agencies and consultancies, utilisation answers the questions that keep ops managers up at night: Are we staffed correctly? Is our sales pipeline healthy? Are we pricing projects right? Can we take on new work without hiring?
Billable Hours = time spent on work that generates revenue and can be invoiced. This includes direct project work, client meetings, deliverable creation, and billable revisions within agreed scope.
Available Hours = total working hours in the measurement period. Typically 40 hours/week or 2,000 hours/year for full-time staff, after accounting for PTO, holidays, and sick leave. Does not include nights, weekends, or time already blocked for leave.
Sarah is a senior consultant on a standard 40-hour week. Over one month (160 available hours), she logged:
Her utilisation rate: (100 / 160) x 100 = 62.5%
Is that good? It depends on her role. If Sarah is a junior execution-focused consultant, 62.5% is too low and indicates poor allocation. If she is a senior director who also handles client development and mentors junior staff, 62.5% is healthy. Most utilisation tracking misses this context entirely.
Calculate utilisation only for billable FTEs, meaning employees whose primary role is delivering client work [3]. Including administrative or support roles skews the number and makes it useless for decision-making.
For part-time or hybrid roles, base available hours on actual scheduled capacity, not a standard 40-hour week. If someone is contracted for 32 hours with 60% allocated to billable work, calculate against that 60% allocation.
For remote teams with flexible schedules, agree on a recurring schedule and track consistently. The method matters less than consistency. For matrixed teams splitting time across departments, allocate available hours proportionally to their assignment split and track each allocation separately.
“With hybrid and remote teams, transparency is everything. When leaders can spot workload imbalances or hidden capacity before they become a problem, projects stay on track and teams stay healthier. Magnetic lets you set custom working schedules per person and see their real capacity across every project they’re allocated to, which changes the conversation from guessing to knowing.” — Isghaack Ebrahim, Implementation Specialist, Magnetic
The traditional 75% benchmark is outdated. Leading firms now aim for 70-80%, what Mosaic calls the “Goldilocks Zone”, because it balances profitability with sustainability [4].
The problem with benchmarks is most firms apply one number to everyone. A company-wide “target 75%” means junior designers coast at the same target as account directors who spend half their time winning new business. Targets need to flex by industry, role, and seniority.
Where this data comes from: These benchmarks are compiled from the Deltek SPI 2025 Professional Services Maturity Benchmark [1], Productive.io’s 2024 industry analysis [5], and Runn’s resource management benchmarks [6]. Individual firm results fluctuate considerably depending on size, maturity, and service mix.
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One-size-fits-all targets do not work. Push a senior leader to 80%, and they have no time for the BD, strategy, and client relationship work that generates next quarter’s revenue. A junior sitting at 55% is probably poorly allocated, not underperforming.
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Across the agencies, consultancies, engineering companies, and accounting firms using Magnetic, one pattern emerges again and again: firms that set role-specific utilisation targets and track them in real time against project budgets see healthier margins than those that apply a single company-wide number. The firms in the strongest position tend to be those where utilisation, pipeline, and capacity are visible in the same place, so staffing and sales decisions happen before the numbers move against them.
A 5% drop in utilisation across 20 consultants billing at $150/hour represents $26,400 in lost monthly revenue, or over $300,000 annually [7]. Small shifts compound fast across a team.
On the flip side, PSA software users see utilisation rates that are 7 percentage points higher than those of non-users. That is close to one additional month of billable work per employee per year [8]. For a 30-person firm, that is the equivalent of adding two to three full-time billable resources without hiring anyone.
Most firms miss this entirely. Declining utilisation signals pipeline delays, project gaps, or too many hires ahead of demand [9]. Instead of reviewing their sales forecast, they pressure delivery teams to bill more hours.
The problem worsens when your CRM, project management, and resource planner live in different systems. You cannot see the connection between pipeline health and team capacity until the damage is done. One consulting firm traced their utilisation dip to a three-week gap between their two largest engagements. The gap was visible in pipeline data six weeks earlier, but because pipeline and capacity data lived in separate tools, nobody spotted it.
When some team members are at 90% while others sit at 50%, you have a staffing problem, not a performance one. The cause is usually poor project allocation, skills mismatches, or project managers assigning work to whoever they last worked with instead of whoever has capacity [10].
High utilisation with low profitability usually means you are underpriced or absorbing scope creep. Track utilisation alongside realisation (the percentage of work that actually gets invoiced and paid) for the complete picture [9].
Most firms rely on self-reported time logs filled out at the end of the week, or right before a project deadline. Forgotten hours, rounded estimates, and misclassified work follow.
Nagging people to fill in timesheets does not fix this. Lowering friction does. Magnetic customers achieve 98% timesheet accuracy because the timesheet system auto-populates from task assignments, has a built-in timer, and integrates with Google Calendar. Daily time entry takes seconds instead of minutes. Roy Avungana, COO at Chapu Chartered Accountants, put it simply: “We no longer waste time on inefficient manual tracking, and we have a much clearer picture of our financial health.”
If your team spends over 15 hours a week on manual reporting, redundant meetings, and unautomated invoicing, that is a structural problem. The culprits are usually manual status updates, inefficient handoffs, proposal creation without templates, and billing processes nobody has reviewed in years.
Happy Friday Creative, an advertising agency, cut admin time by 30% after consolidating operations into Magnetic. Their Operations Director, Sarah Slater, said it came down to reducing time spent on time tracking, planning, and prioritising work. Chapu, a 60-person accounting firm, saw a 70% efficiency improvement after moving off spreadsheets [Magnetic case studies]. In both cases, gains came from eliminating switching costs between disconnected tools.
Some people running at 90% while others sit at 50% creates a vicious cycle. Overworked staff burn out. Underutilised staff feel neglected. The root cause is almost always poor visibility. Project managers assign work to whoever they know or last worked with, not whoever has capacity [10].
Exonic Solutions, a software consultancy, saw 80% improvement in project visibility and 50% in scheduling accuracy after moving from disconnected systems to Magnetic. Their MD, Billy Einkamerer, described it as “replacing the noise of multiple tools with a single, reliable system that actually supports how we work.” When capacity data, skills profiles, and project schedules live in one system, allocation decisions are based on evidence.
Even with a healthy pipeline, timing gaps between project end and start dates drain utilisation. A consultant finishing a three-month engagement on Friday might have no work queued for Monday.
The fix is forward-looking resource forecasting with at least 4-8 weeks of visibility. If you can see the gap coming, you can pull forward work, extend current engagements, or time your sales outreach accordingly. Magnetic’s resource planner includes pipeline opportunities filtered by probability, so you can tentatively book capacity against deals that haven’t closed yet.
Scope creep and “while you’re at it” requests burn hours without corresponding revenue. Teams absorb extra work because they think it builds relationships. It doesn’t. It trains clients to expect free work. Shift ONE, a B2B digital agency, came to Magnetic specifically because they could not tell where they were over-delivering or underquoting. Their CEO, Dylan Kohlstadt, said they needed finance, time tracking, and project management in one view to make that visible.
Before optimising delivery, check whether your pipeline has enough work coming in over the next 4-8 weeks. Align sales forecasts with delivery capacity. Time new hires to lag behind consistent pipeline growth. Set a clear “bench threshold” by defining a minimum acceptable utilisation rate that will prompt specific action. For example, set a target: if company-wide utilisation drops below 72% for two consecutive weeks, immediately trigger sales outreach campaigns or expedite proposals, rather than defaulting to performance reviews for delivery staff. Making this threshold explicit gives managers a concrete, proactive metric to guide resource and sales decisions.
When your CRM and resource planner live in the same system, the connection between pipeline health and team capacity is visible in real time, rather than through end-of-month spreadsheet reconciliation. Magnetic’s pipeline view includes weighted opportunity values, so you can forecast revenue and the resource demand it will create.
Skills mismatches delay tasks and leave senior staff doing work that should be handled by others [10]. Implement skills-based resource assignment, 30-60-90 day capacity planning, and tentative bookings for pipeline opportunities.
Exonic Solutions saw a 50% improvement in scheduling accuracy after moving to skills-based allocation in Magnetic. Instead of assigning work to whoever was available on a spreadsheet, they could see skills, current workload, and upcoming availability in a single view.
Target the biggest time sinks first: manual reporting, redundant meetings, proposal creation without templates, and manual invoicing. PSA software users see utilisation rates 7 percentage points higher than non-users [8], which is nearly 1 additional month of billable work per employee per year. Most gains come from automating admin that fragments billable time.
If a project needs 2.5 FTEs but you staff it with 3, someone’s utilisation suffers. Size teams to project budgets, use fractional allocation (45% of one person plus 55% of another), and combine smaller projects to create full-time allocations. Monitor project burn rates weekly using project financials, rather than waiting for monthly reviews.
The firms we work with that handle this best pair a senior and a junior on every project. It is slower short term but eliminates the single-point-of-failure problem within a quarter.
Document scope clearly in every statement of work. Implement formal change request processes. Train teams to flag out-of-scope requests immediately rather than absorbing them, and bill for all approved changes. We wrote a detailed guide on how to prevent scope creep on client projects if you want to go deeper on this.
You will never hit 100% billable utilisation, and you should not try. Instead of letting non-billable work fragment your team’s billable time throughout the week, block it deliberately. Friday afternoons for professional development. Tuesday mornings for internal meetings. Project gaps for strategic initiatives. This keeps the billable hours consolidated and protectable.
Track utilisation weekly for operational decisions and monthly for strategic planning [3]. Weekly tracking catches problems early enough to act on them. Monthly aggregates reveal the trends that matter for hiring and sales decisions.
Weekly reports should show: current utilisation by individual, a 4-week rolling average, a 2-week projected utilisation, and the variance between forecast and actual.
Monthly reports include: team and company averages, month-over-month trends, correlations with revenue and profitability, and comparisons to benchmark targets.
Three practices make the difference between reliable utilisation data and fiction:
When your timesheets, project data, and resource plans all feed into the same system, these reviews take minutes instead of hours. That is the difference between tracking utilisation retrospectively, after the damage is done, and flagging problems the week they start.
Pushing utilisation above 80% consistently causes burnout and higher attrition [4][7]. Here is the math that should make every ops manager pause: if you push a $100,000/year employee to 95% utilisation for an extra $5,000 in quarterly billing, but they quit and cost you $50,000+ to replace, you have destroyed value. That replacement cost is conservative. It does not include knowledge loss, client disruption, or damage to team morale.
To prevent burnout before it happens, managers can monitor both workload and well-being proactively. Schedule regular one-on-one check-ins to discuss not just performance but stress levels, capacity, and upcoming demands. Use anonymous quarterly pulse surveys to catch early signs of overwork or disengagement that employees might hesitate to share directly. Watch for patterns in overtime or unused vacation time as red flags. By building these practices into your workflow, you can spot and address burnout risks before they impact retention or performance.
When utilisation dips, use it as an opportunity to invest in training, process improvements, and strategic work that generates future revenue. Do not panic when utilisation drops to 70%. Budget 5-10% of available time for professional development: courses, certifications, internal training, mentoring. This reduces short-term utilisation but increases long-term value and retention.
Watch for these: increased errors and rework, missed deadlines despite overtime, rising workload complaints, turnover among top performers, declining client satisfaction, and team members regularly working nights and weekends. If three or more occur simultaneously, your targets are too aggressive. Dial back before turnover costs wipe out extra billing.
Tracking utilisation after the fact means you always react to problems that have already cost you money. Firms that protect margins see utilisation in real time, connected to pipeline, project budgets, and team capacity, so they can act before a dip becomes a loss.
With industry utilisation at 68.9% and falling [1], the gap between firms with real-time visibility and those using last month’s spreadsheet widens every quarter. To see connected utilisation tracking with your own data, start a free 14-day trial of Magnetic. No credit card, no commitment.
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Utilisation rate measures the percentage of an employee’s available working hours spent on billable, revenue-generating work. It is calculated as (Billable Hours / Available Hours) x 100. In professional services firms, it is the primary metric for measuring how effectively you convert team capacity into revenue. Most firms track billable utilisation (client-billable hours only), though some also measure productive utilisation, which includes necessary non-billable work like training and internal projects.
The optimal range is 70-80%, known as the “Goldilocks Zone” [4]. This differs considerably by role: junior execution-focused staff typically target 75-80%, mid-level staff 70-75%, and senior leadership 55-65% because of their strategic, business development, and client relationship responsibilities. Rates above 80% sustained over time increase burnout and turnover risk, and the cost of replacing a burned-out employee usually far exceeds the extra billing generated by their overwork. A single company-wide target rarely works because it either pushes seniors too hard or sets the bar too low for juniors.
Use this formula: (Billable Hours / Available Hours) x 100. For example, if an employee has 40 available hours in a week and logs 30 billable hours, their utilisation rate is 75%. Only include billable FTEs in the calculation. Adding administrative or support roles whose primary function is not client delivery will skew the number downward and make it useless for operational decisions. For part-time staff or people in hybrid roles, base available hours on their actual scheduled capacity rather than a standard 40-hour week.
Utilisation measures the percentage of available time spent on billable work. Realisation measures how much of that billable work actually gets invoiced and paid. You can have high utilisation (80%) but low realisation (70%) if you are writing off time due to budget overspends, scope issues, or client negotiations. Both metrics together give the full picture of revenue efficiency. A firm with 80% utilisation but only 65% realisation is losing nearly a third of the value its team generates, which is why tracking both utilisation and realisation matters.
Common causes include weak sales pipelines, project start delays, excess hiring ahead of demand [9], poor project allocation, excessive admin overhead, and gaps between project end and start dates. Low utilisation is frequently a sales problem rather than a delivery problem, so check your pipeline before blaming your delivery team. Timing gaps are particularly common: a consultant finishing a three-month engagement on Friday may have nothing scheduled for Monday, which is a resource-planning failure rather than a performance one. Forward-looking capacity planning with 4-8 weeks of visibility helps prevent these gaps from draining your numbers.
Track utilisation weekly for operational decisions and monthly for strategic planning [3]. Weekly tracking catches staffing problems early enough to act on them, such as reallocating underutilised team members to projects that need support. Monthly aggregates reveal trends that inform hiring, sales strategy, and capacity planning decisions. Regular check-ins by resource managers can also help flag immediate staffing gaps, particularly in firms where project schedules change frequently. The crucial factor is consistency: whichever cadence you choose, stick to it so the data is comparable over time.
Magnetic is an all-in-one workflow management platform designed and built for professional services firms.
