IT service desk metrics and access requests: what teams miss

TL;DR: IT service desk metrics like ticket volume, first-contact resolution, backlog, SLA compliance, and escalation rate help teams spot bottlenecks, reduce costs, and improve employee support, according to Zluri. In identity programmes, those same measures only matter when they reveal whether access requests are being handled fast, consistently, and with auditability.

NHIMG editorial — based on content published by Zluri: Access Management 12 IT Service Desk Metrics for Your Support Team

By the numbers:

• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
• Only 5.7% of organisations have full visibility into their service accounts.
• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.

Questions worth separating out

Q: How should security teams use service desk metrics in access governance?

A: They should treat service desk metrics as operational evidence of identity control health.

Q: Why do backlogs create risk in identity operations?

A: Backlogs create risk because unresolved work extends the time users wait for access decisions and the time risky changes remain incomplete.

Q: What do teams get wrong about first-contact resolution?

A: They often treat first-contact resolution as a pure productivity metric when it also reflects process clarity.

Practitioner guidance

• Segment service desk metrics by identity workflow Break ticket volume, backlog, and resolution time out by joiner, mover, leaver, access request, and escalation categories so you can see where identity work is concentrating.
• Set separate SLA targets for access decisions Define response and closure targets for access requests, privileged changes, and revocations so urgent identity work is not hidden inside a generic support queue.
• Use escalation data to redesign approval ownership Review repeat escalations to find where approvers lack context, where entitlements are unclear, or where the request model depends on manual exceptions.

What's in the full article

Zluri's full article covers the operational detail this post intentionally leaves for the source:

• The full metric-by-metric walkthrough of ticket volume, FCR, backlog, SLA compliance, TTR, and user satisfaction.
• Worked formulas and numerical examples for calculating each service desk metric in practice.
• The access request workflow features, including Slack notifications, pending and completed request views, and automated approval triggers.
• The specific request-management capabilities the vendor describes for reducing manual handling and improving service delivery.

👉 Read Zluri's guide to 12 IT service desk metrics and access workflow control →

IT service desk metrics and access requests: what teams miss?

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