Opinion · An editorial recommendation
Repetition is a finding
A queue is usually treated as a workload to be cleared. Read as data, it is a description of where the service asks too much of people: the same password reset, the same permission request, the same confused question about a form.
A repeated request is a reason to investigate the service design. It may expose a cause that the team could remove instead of handling each ticket separately.
Group by cause before you optimise
Faster handling can reduce waiting, but it does not necessarily remove the cause of a recurring request. Before improving throughput, sort a month of tickets by what caused them and look at the top few groups honestly.
Some will be documentation, some access design, some a genuinely confusing interface owned by another team. A shorter response time alone will not remove the underlying cause.
Take the finding to whoever owns the cause
Check whether the team that owns the service sees the support work it generates. A short summary with counts and a couple of anonymised examples is unusually persuasive, because it converts an opinion about usability into an operational cost.
We recommend an agreed route for the support function to raise a recurring cause and expect a decision on it, rather than absorbing it indefinitely.
Compare the tickets with the work being done
Imagine a fictional team sees twenty access questions after changing an onboarding form. The count alone cannot tell you whether the form made things worse: the organisation may also have hired twice as many people. Compare the requests with the number of joiners, and inspect a sample to understand where people stopped.
Group by observable cause when possible: missing approver, unclear eligibility or a request that reached the wrong team. Keep an “unknown” group instead of forcing every ticket into your preferred explanation. An investigation should be allowed to change your initial view.
Try one change and look for displaced work
Agree a bounded improvement with the service owner, such as making the approver field clearer for one department. Compare complete requests, time to fulfilment and the effort of submitting the form before and after the trial. Ask the requesters what became easier or harder.
A falling ticket count is not enough if people have given up, moved to private messages or started sharing accounts. Check those possibilities before calling the change a success. Keep the result and decide whether to extend, revise or withdraw the trial.
Something needs correcting?
Get in touch to explain which claim needs attention and share the supporting source.