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How Customer Support Leaders Are Gaining Better Operational Insight in 2026

Feb 20, 2026

In 2026, customer support leaders are not short on data - but many still struggle to gain meaningful insight. Dashboards track volume and response times, yet often fail to explain why costs fluctuate, why surges disrupt operations, or why support teams feel stretched despite automation.

Leading support organizations are closing this gap by using structured tools that reveal how people, cost, and capacity interact under real conditions.

Here’s how customer support leaders are gaining better operational insight this year.

Revealing hidden cost and utilization patterns

ROI calculators expose inefficiencies in fixed staffing models, helping leaders see how idle time and surge preparation affect cost per ticket.

Understanding performance under pressure

Surge planning checklists reveal how teams respond during high-stress moments, not just during steady-state operations.

Clarifying whether the current model still fits

Elastic support model self-assessments help leaders evaluate whether their structure reflects current realities or legacy assumptions.

Connecting operations to regulatory expectations

Regulatory readiness assessments help teams understand how operational choices affect compliance posture as expectations evolve.

Together, these tools provide a clearer picture of how support actually functions - enabling smarter decisions about what to keep, what to evolve, and where flexibility adds value.

Discover how these Sirius Support tools provide deeper operational insight here:

  1. ROI Calculator

  2. Surge Planning Checklist

  3. Elastic Support Model Self-Assessment

  4. Regulatory Assessment

Human + AI Innovation

Learn how organization's are integrating outsourced human-centric support within their AI customer support transformation.

Human + AI Innovation

Learn how organization's are integrating outsourced human-centric support within their AI customer support transformation.

Human + AI Innovation

Learn how organization's are integrating outsourced human-centric support within their AI customer support transformation.