CX analytics

CX analytics is the practice of combining three data families to explain why customer experience is trending a certain way, beyond simply reporting that it is. Those families are operational metrics (handle time, resolution rate, channel mix), interaction data (calls, chats, emails), and solicited feedback (surveys, reviews). Where standard reporting shows a CSAT drop, voice of customer analytics attributes it to a cause. For example, a policy change surfaced across three channels in the same week, assigned to a team for action. OnClarity’s Voice of Customer supports this by aggregating 100+ feedback sources and classifying them by topic and sentiment to surface root causes. This closes the gap between closed loop feedback and first contact resolution. A mature CX analytics glossary should separate these three data families clearly, since vendors often blend them into a single “experience score” that hides which one moved.

CX analytics is the practice of combining three data families to explain why customer experience is trending a certain way, beyond simply reporting that it is. Those families are operational metrics (handle time, resolution rate, channel mix), interaction data (calls, chats, emails), and solicited feedback (surveys, reviews). Where standard reporting shows a CSAT drop, voice of customer analytics attributes it to a cause. For example, a policy change surfaced across three channels in the same week, assigned to a team for action. OnClarity’s Voice of Customer supports this by aggregating 100+ feedback sources and classifying them by topic and sentiment to surface root causes. This closes the gap between closed loop feedback and first contact resolution. A mature CX analytics glossary should separate these three data families clearly, since vendors often blend them into a single “experience score” that hides which one moved.

Related terms

Closed loop feedback

Closed loop feedback is the practice of acting on individual customer feedback and reporting back to the customer about what changed as a result. It operates on two levels. The inner loop is where a team responds directly to the customer who gave the feedback, typically within a defined service window. The outer loop is where the underlying theme is routed to whichever team can address the root cause. Closing the loop requires three things: a named owner, a deadline, and a reply to the customer. OnClarity’s Voice of Customer pushes daily reports, feedback topics and bug insights into Slack so themes reach the right owner without manual handoff.

First contact resolution

First contact resolution is the share of issues fully resolved during a customer’s first interaction, with no follow-up contact about the same problem. It correlates strongly with satisfaction and cost, but only when measured over a defined reopen window rather than at ticket close.

Interaction analytics

Interaction analytics is the analysis of full conversation transcripts to surface demand drivers, friction, and risk across every contact rather than a sampled few. Because it reads what customers actually said, it identifies emerging issues that structured ticket fields and survey scores are too coarse to reveal.

Voice of customer

Voice of customer is the discipline of turning reviews, support tickets, surveys, and conversations into operational decisions. The distinguishing feature of a working programme is the closed loop: findings reach the team that can fix the cause, and the resulting change is measured against contact volume.

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