Case management is a key part of many organisations – whether it involves fault reports, support cases or internal workflows. But how do you actually know if you’re doing a good job?
Many organisations focus on “working faster”, but speed is only part of the picture. True quality is about delivering the right thing at the right time – and reducing the need to redo the same work.
In this article, we look at three key metrics for measuring quality in case management: SLAs, lead times and recurring errors.
What do we mean by quality in case management?
Quality in case management isn’t just about how quickly a case is closed. It’s just as much about how well the problem is resolved and the user experience.
A case can be dealt with quickly – yet still lead to dissatisfaction if the solution is inadequate or if communication has been unclear. Similarly, a case may take a little longer, yet still be perceived as high quality if it is handled in a structured and correct manner.
Common challenges are:
- Unclear criteria for what constitutes ‘good’
- Focus on activity rather than results
- Lack of monitoring and analysis
To make progress, you need to start measuring – and do it properly.
Why is it important to measure quality?
Without measurement, it is difficult to understand how the business actually operates. Decisions are easily based on gut feeling rather than facts.
By measuring the quality of case management, it is possible to:
- Identify bottlenecks and inefficient working practices
- Understand what influences customer satisfaction
- Prioritise the right improvement measures
In short: measurement makes it possible to shift from a reactive to a proactive approach.
SLA – setting the right expectations
An SLA (Service Level Agreement) is about defining the expectations that apply to the handling of cases.
This could include, for example:
- How quickly a query should be answered
- How long it may take to rectify
- What level of accessibility is expected?
SLA is important because it provides clarity – both internally and for the user.
But there is one major pitfall: becoming overly fixated on SLAs. It is entirely possible to meet all SLA requirements and still have dissatisfied users. Why? Because SLAs measure delivery against an agreement – not necessarily perceived quality.
That is why SLA needs to be supplemented with other perspectives.
Lead time – how long does it actually take?
Lead time is the total time from when a case is registered until it is resolved.
What often becomes clear when you start measuring lead times is that a large proportion of the time is not spent on active work – but on waiting. Tasks are queued up, awaiting decisions or being passed back and forth between different departments.
By analysing lead times, you can:
- Identify where cases get stuck
- See the difference between different types of cases
- Understand how priorities affect the workflow
Lead time therefore provides a more realistic picture of how efficient the process actually is – not just how quickly staff work once they are dealing with a case.
Recurring errors – the key to real improvement
One of the most underrated measures of quality is repeat business.
If the same type of problem keeps cropping up, it doesn’t really matter how quickly it is dealt with – it suggests that the root cause hasn’t been addressed.
By identifying recurring errors, you can:
- Identifying patterns in the business
- Prioritise the right improvement measures
- Reduce the overall caseload over time
This is often the difference between ‘putting out fires’ and actually making real improvements to the business.
The balance between metrics – what should you focus on?
A common challenge is optimising the wrong thing. If you focus solely on reducing lead times, there is a risk that the quality of the solution will suffer. If you focus solely on SLAs, you may overlook underlying issues.
That is why it is necessary to work with several metrics at the same time:
- SLA – ensures that expectations are met
- Lead time – shows how efficient the process is
- Recurring faults – driving long-term improvement
Together, they provide a more complete picture of quality.
How to get started in practice
It doesn’t have to be complicated to start measuring quality.
A good first step is to:
- Select 2–3 key performance indicators (e.g. lead time and repeat orders)
- Ensure that data is recorded correctly in the system
- Monitor regularly – preferably visually via dashboards
- Involve the business in the analysis
The most important thing isn’t to measure everything – it’s to measure the right things and actually put those insights to use.
From measurement to improvement
Measuring quality is just the start. The real benefits only emerge when those insights lead to change. By taking a structured approach to SLAs, lead times and recurring faults, organisations can become not only faster – but also smarter. And that is where true quality comes into play.
Would you like to find out more about how case management works in Pythagoras? Get in touch with us here.
