Your KPI Is 87%. Now Ask Why?

3 min read

The KPI is the starting point. The real value comes from understanding what's behind it.

Most operations teams rely on KPIs to understand how they're performing. SLA performance, response times, compliance, work order completion, attendance, costs and customer satisfaction all provide useful measures.

But a KPI only tells part of the story. If a KPI shows that 87% of work orders are meeting their SLA, you know there's a gap. What it doesn't tell you is which work orders are causing it, which sites are affected or whether the same problems keep happening.

The same applies to other areas of your operation. A compliance figure might show that performance has dropped, but not which records are causing the issue. Rising reactive maintenance costs tell you something has changed, but not which sites or assets are behind it.

The number is useful. It's just not the whole answer.

A KPI gives you the result. What's behind it?

KPI dashboards are useful for showing how your operation is performing, but the number itself doesn't explain what's driving the result.

Imagine seeing an SLA performance KPI of 87%. The useful next question is: Which work orders are at risk of breaching their SLA?

That takes you beyond the headline figure and into the detail. You can see which work orders are contributing to the result, which sites are affected and whether the same pattern keeps showing up.

The same applies across your operation. If reactive maintenance costs are climbing, you might want to understand why a particular site keeps generating reactive work orders. If compliance performance is dropping, you might want to know which workers or vendors are creating the gap, which certificates are missing or what's about to expire.

The KPI tells you where to look. The detail tells you what's happening.

This is where AI changes the experience. The information behind a KPI is often already sitting in your system. The challenge is getting to it fast enough to make it useful.

Arez brings operational information together across work orders, assets, vendors, workforce activity, compliance and service delivery. AI gives you another way to work with that information, so you can ask questions and explore what's happening across your operation.

For example:

Which work orders are at risk of breaching their SLA?
Why does this site keep generating reactive work orders?
Which sites aren't compliant, and which certificates are missing?

The value isn't simply being able to ask a question. It's being able to move from the headline number to the information behind it without turning the investigation into another manual task.

Make your KPIs work harder

Once you know what's behind the score, you can do something about it. If certain work orders are driving SLA risk, you can prioritize them or reassign the work. If compliance issues are coming from a small number of sites, you can see what's missing and fix it. If a pattern is emerging across your operation, you can act on it before it becomes a bigger problem.

The KPI shows you where to look. The detail shows you what to do.

Most businesses already have the data they need. The challenge is turning that data into something useful when a decision has to be made. Arez brings operational data and workflows together, while AI gives your team another way to explore what's happening and understand what sits behind the numbers.