When Workload Spikes
When Workload Spikes: 9 out of 10 causes is about Human Behavior
Recently, I was speaking with a client who was struggling
with a familiar problem: unpredictable workload spikes. Their team was
overwhelmed at the start and end of every month, phones ringing off the hook,
staff stretched thin, and customer frustration rising.
On paper, nothing seemed unusual. The staffing levels were stable. The processes hadn’t changed. Yet every month, like clockwork, the same tidal wave hit.
So we stepped back and looked at their demand profile — not just the numbers, but the story behind the numbers.
And the answer was surprisingly simple.
They sent out all their bills at the start and end of the month.
- Customers received them.
- Customers had questions.
- Customers called.
The spike wasn’t a mystery. It was a perfectly predictable human response.
The tempting solution that wouldn’t have worked
The client had already started brainstorming ideas. One
suggestion was to let customers choose their own billing date. In theory, this
would spread the workload more evenly.
But when we looked at it through the lens of real human
behaviour, the picture changed.
Most people get paid at the end of the month.
Most people budget around that.
Most people want bills to arrive when they actually have money in their
account.
So if customers were given the choice, they wouldn’t spread
themselves evenly across the month. They’d cluster — right back at the end or start of the month.
The spike would remain.
The workload pressure would remain.
And the organisation would still be firefighting.
Understanding demand means understanding people
This is the heart of demand and capacity modelling:
- You’re not just analysing numbers.
- You’re analysing behaviour.
- Why do people call?
- When do they call?
- What triggers the peak?
- What constraints shape their choices?
Once you understand the “why,” the “what to do about it”
becomes much clearer.
In this case, the organisation had two realistic options:
1. Accept the spike and design staffing around it
Some peaks are simply part of the landscape. If
customer preference drives the pattern, fighting it can cause more harm than
good.
After all, what’s worse?
A predictable spike in workload
or
A wave of unpaid bills because customers received them
at a time they couldn’t afford to pay?
Sometimes the most efficient solution is to work with the
pattern, not against it.
2. If the spike truly must be smoothed, change the
trigger
If spreading demand is essential, you need a billing
date that customers won’t cluster around.
Two options emerged:
- Bill
customers on the date they signed up
- Bill
customers on their birthday each month
Both approaches spread demand naturally, without
forcing customers into financial stress.
Helping organisations see the story behind the numbers
This is the work we do every day: helping organisations
understand their demand, redesign their staffing, and create systems that work
for both customers and employees.
If your team is wrestling with workload spikes,
unpredictable demand, or shift patterns that never quite fit, it might be time
to look at the story behind your numbers.
Because once you understand the “why,” the “how” becomes a
whole lot easier.
At C‑Desk Technology and VisualrotaX, we design shift patterns that deliver from day one. Our patterns are built around demand, fairness, and operational sense.
As independent advisors, we bring no bias and no assumptions. We create human‑led shift systems that minimise cost, maximise efficiency, and genuinely support the people who work them. With decades of experience across industries worldwide, we know how to build patterns that work first time — and keep working.
If you want a rota that saves money, strengthens performance, and earns the trust of your workforce, we’re here to help you build it.
Go to our website to find out more

Comments
Post a Comment