An SLA is not just a formal document—it’s the foundation of trust between a company and its customers. But what happens when an SLA isn’t met? Missed deadlines, dissatisfied clients, and a damaged reputation…
To prevent this, you need to follow 10 essential rules that will make your SLA effective, realistic, and truly result-driven. In this article, we’ll explore key principles that will help you stay in control, minimize risks, and enhance your service quality.
Ready to learn how to create an SLA that truly saves your service?
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Service Level Agreement (SLA) is a contract that defines the expected level of service between a provider and a customer. It includes response times, resolution times, and performance metrics (KPIs). SLAs set clear expectations, ensure accountability and help track service performance.
For example, an IT support SLA may guarantee that critical system failures will be addressed within four hours, while general inquiries will receive a response within 24 hours. By setting measurable service expectations, SLAs improve efficiency and customer satisfaction.
The first step in creating an SLA is ensuring clarity in defining the services provided. The document must include a precise list of covered services, their limitations, and details about working hours, weekends, and public holidays.
Example: "We provide technical support via email and Jira chat during business hours from 9:00 AM to 6:00 PM. Outside of working hours, only emergency support for critical incidents is available."
To make an SLA meaningful, you need to define clear performance metrics. Use SLO (Service Level Objectives) for expected service levels and SLI (Service Level Indicators) for actual performance measurements.
SLO: First response time – up to 15 minutes. Resolution time for critical requests – up to 4 hours.
SLI: Average response time over the last month – 12 minutes. 98% of requests were resolved within SLA limits.
SLA commitments should reflect the team’s actual capabilities. Unrealistic expectations lead to violations, decreased efficiency, and employee burnout.
Example: "We guarantee 99.9% service availability, which allows for up to 8 hours of downtime per year, including scheduled maintenance."
The responsibilities of both parties must be clearly outlined. The SLA should specify what information the client must provide, how the request resolution process works, and conditions under which SLA calculation may be paused or restarted.
Example: "If the client does not provide the necessary information, the SLA countdown automatically pauses until the details are received."
SLA compliance should be continuously monitored. Use Jira or other tools for tracking and analytics:
Met vs Exceeded to analyze SLA performance;
Analyse by status, assignee, priority, and other criterion;
Scheduled reports to review SLA performance regularly;
Tracking SLA performance in grid view for real-time SLA monitoring
Add Gadgets to Jira Dashboard for quick access.
Example: "We analyze all SLA breaches weekly and conduct an in-depth review of causes monthly to optimize processes."
In case of SLA breaches, a clear escalation process must be in place. Define:
Who is responsible for accelerating the resolution?
What are the escalation levels?
At what stage does the request go to senior management?
Example: "If a request remains unresolved for over 60 minutes, it is automatically escalated to the support manager, and its priority is changed to critical."
SLA breaches should have consequences. These could include penalties, discounts for customers, or an internal analysis of causes to prevent recurrence.
Example: "If SLA violations occur systematically, the customer receives a 10% discount on the next month’s service."
SLAs should be adaptable since business processes and technologies evolve. The agreement should be reviewed quarterly or whenever significant service changes occur.
Example: "We update our SLA every three months based on process changes and customer feedback."
If the service becomes unavailable, the SLA should outline contingency actions, such as:
Using a backup server environment;
Switching to alternative support channels;
Deploying additional resources during peak loads.
Example: "If the primary server fails, all requests are redirected to a backup system, which is activated within 30 minutes."
SLAs must regulate the security of storing and processing confidential data in compliance with international standards. You can read more about basic security standards in the article Top security standards your enterprise can't afford to ignore.
Example: "All customer data is transmitted via secure communication channels, encrypted, and stored in compliance with ISO 27001 standards."
So, these 10 key SLA rules will help you avoid customer dissatisfaction, improve service quality, and ensure clear SLA management. However, even the best agreements can face challenges if common mistakes are overlooked.
🔹 Unrealistic SLA goals – setting targets that the team cannot meet leads to frequent breaches and burnout.
🔹 Lack of clear responsibility – when roles are not well-defined, requests get delayed, and SLAs are violated.
🔹 Inefficient monitoring – without automated tracking and reporting, SLA issues can go unnoticed.
🔹 Poor escalation processes – without a structured approach, critical problems take too long to resolve.
🔹 Failure to update the SLA – as business processes evolve, outdated SLAs create gaps between expectations and reality.
To learn more about these common pitfalls and how to avoid them, check out my article Top 5 common SLA management mistakes.
Managing SLAs effectively in Jira can be challenging, especially when dealing with complex workflows, multiple teams, and varying service requirements. SLA Time and Report for Jira simplifies and enhances SLA tracking, ensuring that businesses can maintain high service standards while meeting contractual obligations.
✔️ Real-Time SLA Tracking – Get instant SLA updates and ensure compliance before deadlines are breached.
✔️ Advanced SLA Reports – Generate detailed reports on SLA performance, helping teams analyze trends and make data-driven decisions.
✔️ Customizable SLA Conditions – Define SLA rules based on specific criteria such as issue type, priority, assignee, team, or other fields.
✔️ Automated Escalations – Set up automatic alerts and escalations for overdue requests to prevent SLA violations.
✔️ Flexible SLA Metrics – Track response time, resolution time, and other key performance indicators tailored to your business needs.
✔️ Seamless Integration with Jira – Works within Jira's native environment, making it easy for teams to adopt and manage SLAs effectively.
SLA Time and Report for Jira is available for both Cloud and Data Center, making it suitable for businesses with different operational needs, whether they require a cloud-based solution or a self-hosted Data Center deployment.
With SLA Time and Report for Jira, businesses gain better control over their SLAs, reduce the risk of breaches, and improve overall service performance.
Effectively managing SLAs is essential for maintaining high service standards and meeting customer expectations. By following these 10 key SLA rules, you can enhance efficiency, reduce SLA breaches, and improve overall service performance.
But why manage it manually when you can automate the entire process? SLA Time and Report for Jira simplifies SLA tracking, ensures compliance, and provides real-time insights to help you stay ahead of deadlines.
Alina Kurinna _SaaSJet_
Product Marketer
SaaSJet
Ukraine
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