TL;DR
Set SLAs by service and priority, keep the model simple, align OLAs to internal teams, and automate escalations so SLAs drive behavior—not spreadsheets.
1) Define what you are actually measuring
Common SLA measures:
- Time to first response
- Time to resolution
- Time to restore service (for incidents)
- Time to fulfill request (for service requests)
Choose 2–3 measures per workflow. More than that creates confusion.
2) Build a priority model people can apply consistently
Priority should be based on:
- Impact: how many users or services are affected
- Urgency: how quickly the business needs restoration
Keep the matrix small. Four priorities is usually enough.
Example priority matrix
| Priority | Impact | Urgency | Typical use |
|---|---|---|---|
| P1 | High | High | Major service outage |
| P2 | Medium/High | Medium/High | Degraded service or key user impact |
| P3 | Medium | Medium | Standard incident |
| P4 | Low | Low | Minor issue or low impact request |
3) Set SLA targets by service, not by ticket type alone
A “password reset” and a “VPN outage” are both incidents, but they shouldn’t share targets.
Start with:
- Top 10 services by volume
- Top 10 services by business criticality
Then define:
- Response target by priority
- Resolution or restore target by priority
- Service hours and calendars
4) Use OLAs to align internal teams and avoid blame loops
An OLA (Operational Level Agreement) is an internal commitment:
- Network team: investigation within X minutes for P1
- Security team: approval within X hours for access requests
- Workplace team: device provisioning within X days
OLAs prevent “we met our part” arguments by making internal responsibilities explicit.
5) Automate escalations so SLAs drive action
Manual escalation is unreliable. Automate:
- Notifications at time thresholds (e.g., 50%, 75%, 90% of SLA)
- Reassignment to an escalation queue when overdue
- Manager alerts for critical breaches
- Major incident process triggers for P1
Automation matters most for distributed teams across time zones.
6) Reporting that actually helps
Start with three dashboards:
- SLA compliance by service
- SLA compliance by support group
- Top breach causes (category, service, handoff delays)
Then use trend reporting monthly:
- Are breaches improving for critical services?
- Which teams are overloaded?
- Which request types need better automation or knowledge?
Practical reporting table
| Report | Why it matters | What action it enables |
|---|---|---|
| Compliance by service | Shows business impact | Prioritize improvement work |
| Compliance by team | Shows operational accountability | Staffing and training decisions |
| Breach cause breakdown | Shows root drivers | Automation and workflow fixes |
| Aging tickets | Prevents silent backlog growth | Queue management and triage |
7) Common SLA mistakes to avoid
- Too many priorities and targets
- Measuring resolution without defining “resolved”
- SLAs that ignore service hours and time zones
- No OLAs, causing internal friction and delays
- Gaming metrics by closing tickets prematurely
8) How to improve SLAs without burning out agents
If you want better SLA performance, focus on:
- Better routing and categorization
- Knowledge-driven deflection for common issues
- Automation for repetitive requests
- Reducing handoffs with clearer ownership
- Simplifying approval chains
SLAs improve faster through workflow design than through pressure.
FAQs
Not necessarily. Apply SLAs where they drive outcomes. Some low-impact requests can use simpler targets.
SLA is the external or business-facing commitment. OLA is the internal commitment among teams that makes the SLA achievable.
Quarterly is a good baseline. Review sooner if you change services, staffing, or operating hours.
Conclusion
SLAs and OLAs work when they are simple, aligned to services, and supported by automation. The goal is not perfect compliance—it’s predictable service delivery.
