Support analytics that change how the team works

A support dashboard should help someone decide what to do next. If it only proves that the team was busy, it is reporting, not operations. Total conversation count is useful context, but it rarely tells you whether to add coverage, change routing, adjust triggers, or fix a broken article in the knowledge base.

First response time shows trust

The first reply sets the tone. A quick acknowledgement buys time for a harder answer. Silence makes visitors open another tab or leave. Watch first response by channel, department, priority, and hour. The average can look fine while the slowest cases are still painful, so percentiles matter more than a single neat number.

Queue depth warns before the inbox breaks

Queue depth sounds boring until the queue doubles in twenty minutes. Real-time queue analytics show whether the team needs help now. Historical queue depth shows whether the problem repeats every Tuesday morning or only during launch week. Those two situations need different fixes.

SLA is a system signal

SLA adherence should not be used only to blame operators. A missed target may mean the schedule is wrong, routing is sending work to the wrong queue, priority detection is too broad, or one department is under-staffed. In Convor, SLA data belongs next to routing and workload data because the fix is usually operational.

CSAT and sentiment need the transcript

A low satisfaction score is a symptom, not the diagnosis. It may come from slow response, unclear product behavior, a bad handoff, or a policy the operator could not change. Sentiment can surface risky conversations earlier, but the team still needs the transcript. The useful view combines score, tags, response time, resolution time, and the actual conversation.

Measure AI carefully

AI deflection is easy to overstate. A bot answering first does not mean the issue was solved. Better questions are: did the visitor get a useful answer, did they come back, did satisfaction hold, and was the topic appropriate for automation? Convor tracks AI usage and outcomes so teams can compare cost with real value.