IT Support SLA Template: What to Include and Why
A service level agreement for IT support is the contract between your IT team and the rest of the organization. It defines what the business can expect from IT, how quickly issues will be addressed, and what happens when those expectations are not met. Without an SLA, IT support operates on vibes - whoever shouts loudest gets helped first, and there is no objective way to measure whether the team is performing well or struggling.
Most IT SLAs fail not because the concept is wrong but because they are either too vague to enforce or too complex to follow. A good SLA is specific enough to be measurable, simple enough for everyone to understand, and realistic enough that your team can actually meet its commitments. This template covers every section you need, with practical guidance on what targets to set.
Section 1: Scope of Services
The first section defines what your IT support team covers and, equally important, what it does not cover. This prevents scope creep and sets clear boundaries. A typical scope includes:
- Hardware support for company-issued laptops, desktops, monitors, and peripherals
- Software support for licensed and approved applications
- Network connectivity including VPN, Wi-Fi, and wired connections
- Email and collaboration tools (Microsoft 365, Google Workspace, Slack)
- Account management including access provisioning, password resets, and permission changes
- Printer and peripheral troubleshooting
- Security incident response and endpoint protection
Equally important is defining exclusions. Personal devices (unless part of a BYOD program), personal software, home network equipment, and hardware not owned by the company should be explicitly excluded. Without this boundary, IT teams get pulled into supporting every employee's home router and personal phone.
Section 2: Priority Definitions
Priority levels determine how fast IT responds and resolves an issue. The priority system must be objective - based on impact and urgency, not on who submitted the ticket. Here is a four-tier model that works for most organizations:
| Priority | Definition | Examples |
|---|---|---|
| P1 - Critical | Service outage affecting multiple users or business-critical system down. No workaround available. | Email server down, network outage, ERP system failure, security breach in progress |
| P2 - High | Single user completely unable to work, or degraded service affecting a department. | Laptop will not boot, VPN down for remote worker, key application crashing repeatedly |
| P3 - Medium | User impacted but has a workaround. Issue affects productivity but does not block work. | Slow application performance, printer not working (another printer available), non-critical software bug |
| P4 - Low | Minor inconvenience, cosmetic issue, or general request with no urgency. | Desktop shortcut request, non-urgent software install, display settings preference |
Section 3: Response and Resolution Targets
This is the core of the SLA. Response time is how quickly IT acknowledges the ticket and begins working on it. Resolution time is how quickly the issue is fully fixed. These are different metrics, and both matter.
| Priority | Response Target | Resolution Target | Update Frequency |
|---|---|---|---|
| P1 - Critical | 15 minutes | 4 hours | Every 30 minutes |
| P2 - High | 30 minutes | 8 hours | Every 2 hours |
| P3 - Medium | 2 hours | 24 hours | Daily |
| P4 - Low | 4 hours | 72 hours | Every 48 hours |
These targets assume business hours unless your SLA specifies 24/7 coverage. For organizations with extended hours, define when the clock runs. A P3 ticket submitted at 5:30 PM Friday should not breach its 24-hour SLA at 5:30 PM Saturday if your support hours are Monday through Friday 8 AM to 6 PM.
Set resolution targets based on your actual performance data, not aspirations. If your team currently resolves P2 tickets in an average of 12 hours, setting a 4-hour target guarantees failure and erodes trust in the SLA. Start with targets slightly above your current performance, then tighten them as you improve processes and add automation.
Section 4: Escalation Procedures
Escalation defines what happens when a ticket is not resolved within its target, or when an issue exceeds the assigned technician's capability. Document both time-based and skill-based escalation paths.
Time-based escalation triggers automatically when SLA deadlines approach. At 75% of the response target, the assigned technician receives an alert. At 100%, the team lead is notified and the ticket is flagged. At 150%, the IT manager is alerted and authorized to reassign resources. These triggers should be automated in your ticketing system, not dependent on someone manually checking the queue.
Skill-based escalation defines the tier structure. Tier 1 handles routine issues and first-contact resolution attempts. Tier 2 handles complex technical problems that require deeper expertise. Tier 3 involves vendor escalation, infrastructure changes, or issues requiring root-cause analysis across multiple systems. Each escalation should include a mandatory handoff note documenting what was tried and what was found.
Section 5: Service Hours and After-Hours Support
Define exactly when your SLA targets apply. Standard business hours support (for example, Monday through Friday, 8 AM to 6 PM local time) means SLA clocks pause outside those hours. If you offer after-hours support for critical issues, specify the scope - typically limited to P1 incidents only, with longer response targets (30 minutes instead of 15) to account for on-call response logistics.
After-hours support requires an on-call rotation. Define the on-call schedule, compensation structure, escalation procedures, and the threshold for what qualifies as an after-hours emergency. Without clear criteria, every user who forgot their password on Saturday morning will page the on-call technician.
Section 6: Exclusions and Limitations
No SLA can cover every scenario. Document the situations where normal targets do not apply. Common exclusions include force majeure events (natural disasters, power outages), issues caused by unauthorized changes made by the user, third-party vendor outages that are outside your control, and scheduled maintenance windows where services are intentionally offline.
Also define capacity limitations. If a major incident affects 50% of your workforce simultaneously, your small IT team cannot maintain P1 response times for every individual ticket. The SLA should acknowledge that during declared major incidents, individual ticket SLAs are suspended in favor of incident management procedures focused on restoring service for the most users as quickly as possible.
Section 7: Measurement and Reporting
An SLA without measurement is a suggestion. Define the specific metrics you will track and how frequently you will report them. The essential metrics are:
- SLA compliance rate: Percentage of tickets resolved within their target time, broken down by priority level. Target: 90% or above for each priority.
- Mean time to response (MTTR): Average time from ticket submission to first meaningful response.
- Mean time to resolution (MTTR): Average time from ticket submission to confirmed resolution.
- First contact resolution rate: Percentage of tickets resolved without escalation. Target: 70% or above.
- Customer satisfaction (CSAT): Post-resolution survey scores. Target: 4.0 out of 5.0 or above.
- Escalation rate: Percentage of tickets requiring escalation beyond Tier 1.
Report these metrics monthly to IT leadership and quarterly to business stakeholders. Trends matter more than individual numbers - a declining first-contact resolution rate signals growing complexity or training gaps that need attention before they become SLA breaches.
An SLA is a living document, not a contract you file and forget. The template above gives you a complete starting point, but the real value comes from customizing it to your specific environment, measuring performance consistently, and using the data to drive continuous improvement in your IT support operation.
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