Three Signs Your SLA Reporting is Lying to You

Most SLA reports look clean. The percentages are acceptable, the trends are stable, and nobody in the senior team is asking awkward questions. That is not the same as the data being accurate.

After years spent in financial services client operations, the pattern is a familiar one. A firm will have run their SLA process the same way for a long time. The report goes to the board, the compliance team, occasionally an auditor. Everyone nods. Then something goes wrong with a specific client, and when you try to trace what actually happened, the records do not hold together.

Here are three signs your SLA data is telling you what you want to hear.

Your SLA data comes from the same team handling the work

This is the most common structural problem, and the least discussed. When the people responsible for resolving queries are also responsible for logging the timestamps, the accuracy of those logs becomes a direct function of how much pressure those people are under. On a normal day, it works. On a high-volume day, or when two members of the team are absent, nobody is pausing to record receipt times and close-out entries with any care.

Those gaps do not get filled in retrospectively. They either get estimated, or they get left. The cases most likely to be logged accurately are the ones handled under the least pressure, which means the data is systematically skewed toward showing your best performance rather than your actual performance. This is not usually deliberate. It is a structural problem with how the data is being collected, and it is one that tends to get worse as the business grows rather than better.

Your report shows suspiciously consistent compliance

Real operations have variance. Volumes change from month to month. Staffing levels shift. The nature of the work changes. If your SLA report shows broadly the same compliance percentage quarter after quarter with minimal movement, that is worth questioning.

Genuine performance data moves. It goes up when you have a full team and manageable volumes. It comes down when you have a product change, a regulatory event, or several people off at once. Flat, consistent numbers are not a sign of a well-run operation. They tend to be a sign that the data is being managed rather than measured, whether consciously or not. At some point the number stopped tracking reality and started tracking expectations, and no one noticed the transition.

You cannot reconstruct a specific case from your records

This is the test that matters most. If someone asked you to show the complete timeline of a particular client query, from the moment it was received to the moment it was resolved, could you do it? Not approximately, not from memory, but from the same systems that generate your SLA report.

If the answer involves piecing together information from email threads, shared spreadsheets, and individuals who remember the case, then your SLA data is not coming from a reliable source. What you have is an aggregate that gives the appearance of measurement without the substance of it.

This is where FCA Consumer Duty becomes directly relevant. Firms are expected to demonstrate outcomes, not just report them. A spreadsheet that cannot be interrogated case by case is not evidence of good client service, it is a record that something was tracked. If your processes came under scrutiny, from a regulator, a disgruntled client, or an internal audit, the question would not be what your average compliance rate was. It would be: show me this specific case.

The question worth asking

None of this requires bad intent. SLA data tends to degrade in organisations where the infrastructure for capturing it was never built for the current scale of the business, or where the operation grew faster than the processes supporting it. The report continues to look acceptable because nobody has had cause to stress-test it.

The question is not whether your SLA report looks good. It is whether it would survive scrutiny.