The CX industry has developed a measurement problem rooted in convenience rather than insight. Teams across support operations default to metrics that live in their ticketing systems—resolution time, tickets closed, first-response time—because these figures are immediately accessible and require minimal analytical effort. This approach treats data availability as a proxy for business value, creating a false sense of rigour where organisations believe they're optimising performance when they're actually optimising for what their tools make easiest to track. The result is a systematic blind spot: teams measure activity rather than outcome, velocity rather than quality, and what happens inside the support function rather than what actually matters to customers and revenue.
The implications for CX professionals are substantial. If your team's KPIs are built around ticket metrics alone, you're operating with incomplete information about whether support is genuinely solving customer problems or simply processing them faster. This becomes particularly acute when considering the broader organisational context—support teams increasingly own customer retention, upsell opportunities, and product feedback loops that traditional ticket-based metrics completely obscure. The question becomes whether your current measurement framework is actually measuring support performance or merely measuring how well your ticketing system captures activity. Teams relying on Zendesk, Freshdesk, or similar platforms have the infrastructure to move beyond these surface-level metrics, yet most haven't, suggesting the barrier is strategic rather than technical.
Shifting measurement away from convenience requires deliberate structural change. This means identifying what actually drives customer value—resolution quality, time-to-value, customer effort, sentiment shifts, repeat contact rates—and building measurement systems around those outcomes, even when the data requires manual collection or cross-system integration. Organisations that make this transition gain a competitive advantage not because they're measuring something revolutionary, but because they're measuring something real. For support leaders, the question isn't whether you have access to better metrics; it's whether you're willing to invest in capturing them.
I think there’s a sense that historically businesses have been measuring things that are easy to measure because it feels like there’s insights that we’re not getting out of that basic data. So many just grab the information that’s easily available. Let’s just look at: Tickets closed divided by time