If you've worked inside or alongside an Australian government agency in the last five years, you'll have noticed a shift. The expectation to deliver more — more services, more responsiveness, more transparency — hasn't slowed down. But the resources available to deliver it haven't kept pace. Budgets are tight. Headcount caps are real. And the political and community appetite for "just hire more people" as a solution has, rightly, diminished.
So the question becomes: how do you get more from the people you already have?
Not by working them harder. That leads to burnout, turnover, and the kind of institutional knowledge loss that takes years to recover from. The answer is better workforce planning — a disciplined, evidence-based approach to making sure the right people, with the right skills, are in the right place, at the right time, doing the right work.
It sounds obvious. In practice, it's one of the most underdeveloped capabilities in the Australian public sector. And it's costing taxpayers far more than most agencies realise.
The productivity problem in plain terms
Australia's productivity story has been difficult reading for some time. The Productivity Commission's 2025 Annual Bulletin confirmed what many suspected: multifactor productivity growth has been near zero, and labour productivity has stalled. In the public sector specifically, the challenge is compounded by the nature of the work — services that are hard to automate, demand that's driven by population and policy rather than markets, and workforce structures that were often designed decades ago for a different operating environment.
The Australian Public Service alone employs around 150,000 people. State and territory agencies, local councils, statutory authorities and government-owned corporations add hundreds of thousands more. Labour is, by far, the largest operating cost in government — typically accounting for 60–80% of agency budgets. Even modest improvements in how that labour is planned, allocated and utilised can unlock significant productivity gains.
But the conversation in most agencies isn't framed that way. Workforce planning is often treated as an HR function — a compliance exercise focused on headcount reporting, vacancy management and organisational charts. It sits apart from operations, apart from service delivery, and apart from the financial planning processes that actually drive resource allocation.
That disconnect is where the productivity leaks start.
Where government agencies typically lose ground
Having worked with government organisations across Australia, the patterns are remarkably consistent regardless of whether you're looking at a federal department, a state health service, a water utility, a transport authority or a local council. The specifics differ, but the structural issues repeat.
Staffing levels are set by history, not demand. Most agencies inherit establishment structures that were set years — sometimes decades — ago. Roles are allocated by function, team or location based on what was needed at the time, and then carried forward with incremental adjustments. What's rarely done is a first-principles analysis of actual demand: how much work needs to be done, when, where, and with what skills? Without that foundation, you end up with some teams chronically under-resourced and others carrying capacity they don't consistently use.
Rostering and scheduling are manual and reactive. In operational areas — contact centres, field services, regulatory inspections, processing teams, custodial settings, hospital wards, aged care facilities — the quality of rostering directly drives service outcomes and cost. Yet many agencies still roster manually, using spreadsheets or basic tools that don't account for demand variation, skill requirements, fatigue management, or compliance constraints. The result is over-staffing at quiet times, under-staffing at peaks, excessive overtime, and heavy reliance on agency or casual labour to plug gaps.
The mix of employment types isn't optimised. Government workforces typically include a blend of permanent, fixed-term, casual, labour-hire and contractor staff. Each has different cost profiles, flexibility characteristics and capability implications. But the mix is often a product of accumulation rather than design. Agencies end up paying permanent premiums for variable work, or conversely, paying casual and agency premiums for work that's predictable enough to be filled by permanent or part-time staff. Neither extreme is efficient.
Capability gaps hide behind headcount. An agency might have the "right" number of people on paper, but if skills don't match the work — if investigators are spending time on administration, if specialists are doing generalist work, or if experienced staff are doing tasks that could be handled at a lower classification — productivity suffers. Capability planning, which looks at skills and competencies rather than just bodies, is still relatively immature in most government settings.
Data is fragmented and underused. Agencies typically have workforce data spread across HRIS systems, payroll, time and attendance, project management tools, and operational systems — none of which talk to each other particularly well. Getting a clear picture of who's doing what, when, and at what cost requires manual assembly that's done infrequently, if at all. Without that visibility, workforce decisions are made on instinct rather than evidence.
These aren't niche problems. They're systemic. And they represent an enormous opportunity — because fixing them doesn't require new legislation, massive technology investments, or wholesale restructuring. It requires better planning discipline and the analytical capability to support it.
What good workforce planning actually looks like in government
Effective workforce planning in government operates across three horizons, each with its own cadence and decision set.
Strategic workforce planning looks 1–5 years out. It answers questions about the size, shape and capability of the workforce needed to deliver on the agency's mandate in the medium term. This is where demographic trends, policy changes, technology impacts and labour market shifts get factored in. It informs recruitment pipelines, training investments, graduate programs and succession planning. Done well, it prevents agencies from being caught flat-footed by retirements, skill shortages or demand shifts they could have anticipated.
For government and defence agencies in particular, strategic workforce planning needs to account for long lead-time capabilities — security clearances, specialist technical skills, regional deployment requirements — that can't be sourced quickly from the market. This is where planning discipline really earns its keep.
Tactical workforce planning operates on a 2–12 week horizon. It translates strategic intent into operational reality: converting demand forecasts into rosters, managing leave, training days and secondments, setting overtime and agency-use guardrails, and ensuring compliance with enterprise agreements and award conditions. This is the engine room of workforce productivity, and it's where most agencies have the most to gain.
The key principle at this level is demand-driven planning. Rather than building rosters around available staff and hoping the work fits, you start with a clear picture of what needs to be done — volumes, service levels, complexity, location — and then design the workforce deployment to match. The gap between these two approaches is where most of the productivity leakage lives.
Operational scheduling is the day-to-day and hour-to-hour allocation of people to tasks. It's about managing disruptions — sick leave, demand spikes, urgent priorities — without defaulting to expensive fixes like overtime or agency staff. Strong scheduling depends on having clear escalation protocols, flexible deployment options, and real-time visibility of who's available and what they're capable of.
These three horizons are connected. Strategic planning sets the boundaries. Tactical planning fills in the detail. Operational scheduling manages the reality. When they're aligned, the workforce feels well-managed — people know what's expected, work is distributed fairly, and the agency consistently meets its service commitments. When they're disconnected — which is the norm — you get firefighting, frustration and waste.
The role of technology — and its limits
It's tempting to reach for technology as the solution. And there's no question that modern workforce management systems, AI-enabled demand forecasting, automated rostering engines and real-time dashboards can make a material difference to how agencies plan and deploy their people.
But technology is an accelerant, not a substitute. An automated rostering tool running on flawed demand assumptions will produce rosters that are efficiently wrong. A predictive analytics platform drawing on fragmented data will generate forecasts that nobody trusts. And a workforce dashboard that nobody looks at is just an expensive screensaver.
The agencies that get the most from technology investments are the ones that do the process and governance work first: define the demand model, clean the data, clarify roles and decision rights, standardise the planning cadence, and then use technology to execute faster, more accurately and at scale.
This is particularly important in government settings where enterprise agreements, award conditions, and workforce policies create a complex compliance environment. Automated tools can check compliance in seconds rather than hours — but only if the rules are correctly configured and maintained.
Trace Consultants' .Workforce solution is designed for exactly this context: helping organisations build insight-led workforce plans that balance operational demand, cost constraints and employee wellbeing — and providing the analytical foundation that makes technology investments worthwhile.
Demand forecasting: the foundation most agencies skip
If you ask a team leader in a government processing centre how many staff they need tomorrow, they'll probably give you a confident answer based on experience. If you ask them how they know, you'll often get something closer to "it's always been about this many" or "it depends."
Neither answer is wrong, exactly. But neither is precise enough to plan efficiently.
Proper demand forecasting for workforce planning uses historical data (workload volumes, processing times, service request patterns), known future events (policy changes, seasonal peaks, program deadlines, court schedules), and capacity models that translate workload into labour hours, accounting for productivity rates, skill requirements and non-productive time (training, meetings, breaks, administration).
The output is a demand profile — a picture of how much work needs to be done, by whom, and when. That profile becomes the blueprint for everything downstream: how many people to roster, what skills to schedule, where to deploy them, and how much it should cost.
Most government agencies don't have this. They have headcount budgets and establishment structures, which is a fundamentally different thing. The headcount tells you how many people you can afford. The demand model tells you how many people you need. The gap between the two is where productivity either hides or gets unlocked.
Getting demand forecasting right is closely linked to planning and operations capability more broadly. The same disciplines that drive effective supply chain planning — demand sensing, capacity modelling, scenario analysis — apply directly to workforce planning, just with different inputs.
The workforce mix question
One of the most consequential decisions in government workforce planning is the mix of employment types. Full-time permanent staff provide stability and institutional knowledge but carry higher fixed costs. Part-time and flexible arrangements can align capacity more closely with demand patterns. Casual and agency staff provide surge capacity but at a premium cost and often with lower productivity and engagement.
The right mix depends on the demand profile. Work that is stable, predictable and requires deep expertise warrants permanent resourcing. Work that fluctuates — seasonally, cyclically, or in response to policy events — warrants a more flexible component. And work that spikes sharply but infrequently is best covered by contingency arrangements rather than permanent headcount.
The mistake most agencies make is defaulting to one approach: either over-relying on permanent staff (and carrying idle capacity at times) or over-relying on contingent labour (and paying premium rates for work that could be planned). Neither extreme is efficient, and both carry hidden costs that don't show up in simple headcount reporting.
A structured workforce composition analysis — looking at demand variability by time of day, day of week, week of year and work type — almost always reveals opportunities to improve the mix. In many cases, agencies can reduce total labour cost while improving service coverage by shifting a proportion of permanent hours to part-time or flexible arrangements, reducing casual and agency usage for predictable work, redesigning shift patterns to better match demand profiles, and introducing tiered roles that match skill requirements to task complexity.
This kind of analysis requires data, modelling capability and a willingness to challenge inherited assumptions. It also requires effective change management, because changes to workforce structure directly affect people's jobs, routines and livelihoods. The agencies that handle this well communicate openly, involve staff in the design process, and demonstrate clearly that the changes are about fairness and effectiveness — not just cost-cutting.
Organisational design and workforce planning are inseparable
You can't plan the workforce effectively if the organisation's structure doesn't support it. And in government, organisational structures are often the product of machinery-of-government changes, political decisions, historical precedent and incremental growth — rather than deliberate design aligned to service delivery.
Common issues include spans of control that are either too narrow (lots of layers, slow decisions) or too wide (overloaded managers, poor oversight); functional silos that create duplication and poor coordination; classification structures that don't match the actual work being done; and unclear accountability for service outcomes, which makes it hard to know whether the workforce is performing well or not.
Workforce planning works best when it's connected to organisational design — ensuring that the structure, roles, reporting lines and governance frameworks are set up to enable efficient service delivery. Sometimes the biggest productivity gain isn't changing how many people you have, but changing how they're organised.
Measuring what matters
One of the frustrations in government workforce planning is the tendency to track inputs (headcount, FTE, vacancy rates) rather than outputs (work completed, service levels met, cost per outcome). Input metrics are easy to report but tell you very little about whether the workforce is productive.
Better metrics for government workforce productivity include labour cost per unit of service delivered, productive hours as a percentage of paid hours, roster accuracy (how closely the roster matched actual demand), overtime and agency spend as a percentage of total labour cost, schedule adherence, and time to fill critical capability gaps.
These aren't exotic measures. They're the kind of operational KPIs that service organisations in the private sector have tracked for decades. The difference is that government agencies haven't traditionally been set up — in terms of data, systems or culture — to measure at this level.
Building this measurement capability is part of building a genuine planning and operations discipline. It requires investment in data integration, reporting tools and, most importantly, a management culture that uses the data to drive decisions rather than just report compliance.
The APS reform context
The federal government's APS Reform agenda and the APS Workforce Strategy have placed workforce capability at the centre of the public service improvement conversation. The themes are clear: attract and retain the right skills, embrace technology and flexible workforce models, and strengthen leadership and integrity.
At the state level, similar reform agendas are playing out. Victoria's public sector workforce strategies, NSW's efficiency reviews, Queensland's service delivery modernisation — all share a common thread: the recognition that workforce productivity is a strategic issue, not just an operational one.
What's sometimes missing from these strategies is the operational execution layer. The strategies articulate the "what" — better skills, better technology, better flexibility. But the "how" — demand modelling, roster optimisation, workforce mix analysis, stores and deployment network design — is where the productivity gains actually materialise.
This is where practical, hands-on consulting capability makes a difference. Not strategy decks that sit on shelves, but working alongside agency teams to build the models, redesign the processes, implement the tools and embed the disciplines that turn workforce planning from a periodic exercise into a continuous operating capability.
How Trace Consultants can help
At Trace Consultants, we work with Australian government agencies — federal, state and local — to design and implement workforce planning, rostering and scheduling models that lift productivity, improve service delivery and reduce cost.
Our approach is grounded in data and operational reality. We don't treat workforce planning as an HR exercise or a technology project. We treat it as a supply chain problem: matching the supply of labour to the demand for services, efficiently, compliantly and sustainably.
Demand modelling and workforce sizing. We build bottom-up demand models that translate service requirements into labour hours — accounting for workload volumes, processing times, skill requirements, compliance obligations and non-productive time. The output is an evidence-based view of how many people are needed, where, when and with what capabilities. This replaces the "we've always had this many" approach with something defensible and optimisable.
Roster and schedule optimisation. We design roster patterns and scheduling frameworks that align staffing levels to demand profiles — reducing over-staffing in quiet periods, improving coverage during peaks, and minimising reliance on overtime and agency labour. For agencies with 24/7 or extended-hours operations — contact centres, hospitals, custodial settings, field services — this is where the biggest gains typically sit. Learn more about our approach to workforce planning and scheduling.
Workforce mix and composition analysis. We model the cost and service implications of different employment mixes — permanent, part-time, casual, agency, contractor — and help agencies design a workforce composition that matches demand variability. This often unlocks savings by reducing premium-cost labour for predictable work.
Organisational design alignment. When the challenge isn't just workforce numbers but organisational structure, we help agencies design operating models that clarify accountability, streamline decision-making and connect workforce planning to service delivery outcomes.
Technology enablement. We help agencies select and implement fit-for-purpose workforce management technology — from rostering platforms to demand forecasting tools to performance dashboards — ensuring that technology investments are grounded in clear processes and clean data. Our .Workforce solution provides a practical, modular toolkit for agencies building workforce planning capability.
Performance measurement and governance. We design KPI frameworks and governance cadences that give agency leaders ongoing visibility of workforce productivity — and the ability to act on what they see, not just report it.
Change management and capability building. Workforce planning improvements change how people work, how they're managed and how decisions are made. Our project and change management capability ensures that changes are adopted, understood and sustained — building internal capability rather than creating consulting dependency.
We bring cross-sector insight to government workforce challenges. The rostering disciplines used in healthcare and aged care, the demand planning rigour applied in retail and FMCG, the scheduling precision required in logistics and distribution — these same disciplines apply directly to government service delivery, and we bring that experience to every engagement.
The bottom line
Workforce productivity in government isn't about doing more with less in the way that phrase is usually used — as a euphemism for cutting. It's about doing more with what you have, by planning better, deploying smarter and measuring honestly.
The levers are there. Demand-driven workforce sizing. Optimised rosters. Smarter employment mixes. Clear organisational structures. Practical technology. Honest measurement. None of these are revolutionary. But they require a level of analytical discipline and operational focus that most agencies haven't historically brought to workforce management.
The agencies that get this right don't just reduce cost. They improve service. They reduce burnout. They make better use of the talented people they already have. And they build the kind of institutional capability that compounds over time — making each year's planning better than the last.
If your agency is grappling with workforce productivity, cost pressure, or the gap between strategic ambition and operational capacity, we'd welcome the conversation.
