A Q&A with shift pattern expert Neville Henderson - Shift Pattern Design Consultant, Crown
Neville Henderson has spent decades designing and implementing complex shift patterns across manufacturing, food and drink, logistics and multi-site operations in the UK and Ireland. With a background in mathematics and an MBA, he specialises in aligning workforce structures with real demand, cost control and compliance.
We spoke to Neville about workforce optimisation, annualised hours, minimum staffing and the realities of compliance in 24/7 environments.
Q: Why do so many shift patterns fail to match real demand?
Because they are designed around a simplified version of reality.
Many organisations assume demand is relatively stable. In practice, it rarely is. Production volumes shift across the year. Internal transfers of work create peaks. Absence levels fluctuate. Maintenance programmes interrupt normal flow.
If a shift pattern is built on a flat demand profile but the real demand curve moves up and down, you end up either overstaffed or constantly short.
Shift pattern design should begin with a proper understanding of the demand profile, not an assumption about it.
Q: In workforce planning, is overstaffing really worse than overtime?
In many manufacturing environments, yes.
There is often a strong aversion to overtime. Leaders see it as inefficient or risky. But if you permanently staff for peak demand, you are paying that premium every day, not just during peaks.
If demand fluctuates, targeted overtime or other flexible working arrangements can be more cost-effective than embedding excess headcount into the base structure.
The issue is not overtime itself. The issue is whether your staffing model reflects the actual pattern of demand across the year.
Q: What’s the difference between minimum staffing and optimal staffing in shift pattern design?
Minimum staffing is often defined as the number of people needed to keep the operation running.
Optimal staffing is about balancing performance, resilience and cost.
Some organisations overstaff out of caution. Others operate permanently at critical minimum levels and rely heavily on overtime.
Neither approach is strategic. Critical minimum staffing needs to be calculated based on real demand variability, skills mix and operational constraints. It should not be based on habit.
Q: How does annualised hours planning improve workforce optimisation in seasonal industries?
In sectors like food and drink manufacturing, seasonality is part of the operating model.
Soft drinks peak in summer. Cheese production often increases before Christmas. Internal production shifts between countries can create predictable surges at specific sites.
If you use a fixed weekly hours model in a highly seasonal environment, inefficiency becomes structural.
Annualised hours allow organisations to flex labour across the year while providing income stability for employees. But they must be designed properly. Contract structure, payroll implications and minimum wage compliance all matter.
Annualised hours are a structural tool, not a quick fix.
Q: Are Working Time Regulations still a barrier to flexible shift patterns?
In my experience, the fear of legislation is often greater than the practical impact.
When Working Time Regulations were introduced, there was significant concern. In reality, if employees are averaging more than 48 hours over 17 weeks, there is usually a deeper issue with workload or staffing.
The regulation itself is rarely the root problem. The real issue is whether the shift design makes sense.
Q: What impact could the Employee Rights Bill have on shift pattern design?
Certain elements could materially affect flexible models, particularly notice requirements for cancelling or changing shifts and the right to stable contracts.
If notice periods become longer, highly reactive or on-call models may need to change. Workforce planning will have to account for that.
The key point is that shift pattern design cannot be static. It needs to anticipate regulatory change and build in resilience.
Q: Can workforce management software fix a poorly designed shift pattern?
Software can measure where you are. It can highlight mismatches between staffing and demand. It can support day-to-day optimisation.
But it cannot decide what the underlying framework should be.
Effective shift pattern design requires human understanding. It requires conversations with managers and staff and a clear view of the wider operational picture.
Technology supports the process, but it does not replace it.
Q: Why do so many shift pattern redesign projects fail?
Because they underestimate the human dimension.
People often understand their own area very well, but they do not always see the wider demand picture. When change is introduced without explaining the rationale or showing the data behind it, resistance follows.
Every adjustment has consequences. A later start may mean a later finish. Fewer weekends may affect weekday coverage.
If those trade-offs are not made clear and understood, the project loses credibility.
Q: What should HR and Operations leaders review if they suspect their workforce planning model is outdated?
Start with the assumptions; Is demand actually flat, or has it shifted? Are absence levels different from when the pattern was introduced? Has product mix changed? Are you relying on expensive overtime more than you realise?
Then measure how far your current staffing profile is from optimal alignment with demand.
Without that baseline, any change risks being cosmetic rather than structural.
Shift pattern design shapes cost, compliance exposure and employee experience. If it is built on outdated assumptions, everything that depends on it will feel the strain.
Q: How does Crown bring together the human side of shift pattern design with workforce management software?
When we work with an organisation, we do not simply install a system and leave them to it. We start by understanding what is actually happening on the ground. That means speaking to managers and staff, reviewing demand profiles, looking at absence patterns and understanding the operational pressures they are dealing with.
A lot of the value comes from that initial assessment. Quite often, people within the business know their own area very well, but working holistically with other departments may be optimal. We help bring that together.
At the same time, the Crown platform gives you the data and visibility to measure where you are and how far away you are from optimal alignment. It allows ongoing optimisation, compliance monitoring and day-to-day control once the structure is in place.
It is not a case of human or software, It's both.
The human element ensures the shift pattern is designed properly and works in practice. The software ensures it remains aligned, measurable and sustainable over time.
That is where organisations move from firefighting to control.
