You Don’t Understand Your Workload (And That’s the Real Problem)

One of the biggest obstacles to improving customer experience in insurance has nothing to do with communication, tools, or even people.

It’s a lack of clarity around the work itself.

Most organizations cannot clearly answer basic operational questions: What work is actually being done each day? How much of it exists? Where is it coming from? And what does it cost to service?

Instead, work is experienced subjectively. Teams feel busy. Service feels inconsistent. Leadership senses inefficiency. But without a structured understanding of workload, those observations remain disconnected from actionable insight.

This becomes a serious issue when organizations begin to think about improving service or introducing automation.

If you don’t understand the nature of the work, you cannot improve it in a meaningful way. You cannot prioritize effectively. You cannot assign ownership with confidence. And you certainly cannot automate it.

What most teams have instead is a mix of tasks, emails, calls, and internal handoffs that have grown organically over time. Some of this work is necessary. Much of it is not. But without visibility, everything gets treated the same.

The result is predictable.

High-value work competes with low-value work. Experienced team members spend time on tasks that should never reach them. Simple requests move through overly complex workflows. And leadership is left trying to solve operational issues using incomplete or anecdotal information.

This is where customer experience begins to break down.

Not because people don’t care, but because the system they are working within has no clear structure.

Understanding workload is not about counting tasks.

It is about creating a clear picture of how work flows through the organization.

This includes:

• the types of work being performed
• the frequency of each type
• the level of effort required
• where the work originates
• how it moves between people or systems

Without this, everything else becomes guesswork.

This is also where most improvement efforts go wrong.

Organizations attempt to fix service issues by adding people, implementing tools, or introducing new processes without ever establishing a baseline understanding of workload.

Those changes may create temporary relief, but they rarely solve the underlying problem. In many cases, they introduce additional complexity.

The shift is straightforward, but not easy.

Instead of asking, “How do we improve service?” the better question is:

“What work is actually being done, and should it exist in its current form?”

That question changes everything.

It forces clarity. It exposes inefficiencies. And it creates a foundation for meaningful improvement.

Once workload is understood, decisions become more grounded.

You can identify which work should be eliminated, which should be simplified, which should be reassigned, and which can eventually be automated.

Without that clarity, every decision is a risk.

And in most cases, it’s a risk organizations don’t realize they are taking.

What most teams never measure

Very few insurance organizations have a structured way to measure workload across their operation.

They may track activity at a high level, but they lack visibility into the composition of that work.

For example:

• What percentage of workload is policy servicing vs. inbound questions?
• How much time is spent on avoidable work?
• Which requests are repetitive and predictable?
• Where are the most expensive resources being used inefficiently?

Without this level of detail, it is impossible to optimize the system.

The connection to automation

Automation requires consistency.

It depends on clearly defined inputs, predictable workflows, and repeatable outcomes.

If your workload is inconsistent, undefined, or constantly changing, automation will struggle to produce reliable results.

This is why many automation initiatives create frustration rather than efficiency. The underlying work has not been stabilized.

Watch: Why workload clarity changes everything

If you're trying to fix this

Understanding workload is one of the first steps in preparing an operation for automation.

It is also one of the most overlooked.

I’ve put together a full breakdown of how to evaluate and restructure insurance operations before introducing automation.

👉 Before You Automate →