Picture this: A team celebrates a major service contract, a product of weeks of careful negotiation. The document is signed and filed away. Now, pan the camera to a different part of the building where the service team is in the trenches, trying to figure out which support ticket is most urgent. This is the gap where service delivery breaks down, leading to wasted resources, ignored risks, and a slow erosion of customer satisfaction. We often treat Service Contract Management and Service Level Agreement (SLA) Management as two separate worlds, but they are not.
For thousands of teams, Jira Service Management (JSM) is where the work happens. It is a powerful system that provides a record of service requests, incidents, and problems. It excels at core operational tasks, allowing you to manage distinct workflows, set and measure time-based targets for individual tickets using built-in SLA timers, and let agents log the hours they spend on a customer’s request.
However, as you scale, the manual effort required to connect the dots between the work being done and the contract becomes a real burden. While Jira is powerful for individual tickets, its native functionality doesn't extend to comprehensive, long-term contract management. On its own, it cannot define contracts, clauses, or specific quotas for each term, such as a set number of tickets or hours per month. Furthermore, native reports can show individual SLA success, but they don't easily show long-term performance trends against a contract’s targets. This lack of performance visibility forces managers to rely on disorganized spreadsheets and manual reports, creating a significant blind spot and increasing contractual risk.
This is a key challenge that purpose-built apps like OBSS’s TicketBook - Service Time and Contract Management for Jira are designed to address. By bringing the business context of a service contract directly into the Jira environment, the app creates a single source of truth that benefits both service providers managing multiple contracts and customers working with multiple vendors.
TicketBook is built to solve these specific problems by giving each team exactly what they need.
Instead of relying on manual tracking, you can define contracts, clauses, and service periods directly inside Jira. This includes setting specific SLA success-rate targets as well as ticket and hour quotas. The app also allows for flexible quota adjustments to handle real-world scenarios, such as when a customer purchases extra requests for a specific period.
TicketBook provides comprehensive reports that show exactly how much of a contract’s quota has been consumed in a given period. You can easily report on purchased versus used quotas for each contract period and instantly identify any breaches. This includes quotas based on ticket counts, service hours, and SLA success rates.
Independent of contract reports, TicketBook provides both SLA List and SLA Success Rate reports. These powerful reports can display your Jira Service Management SLA results as a list or calculate success rates across various issue fields like projects, components, customers, vendors, and more.
This allows you to move beyond simple pass/fail metrics and analyze trends over weeks, months, or years.
With this unified system, all relevant parties can access the same data. Agents can see a customer’s monthly quota and how much has been used directly on the ticket view screen.
Also, customer can see their own quota usage in their customer portal too.
This instant communication prevents critical errors and reduces time-consuming questions. By unifying your contracts and service operations in Jira, you move from a fragmented approach to a cohesive, integrated system.
Ready to simplify your service agreement management? Take the first step toward effortless contract management and visit TicketBook - Service Time and Contract Management for Jira at the Marketplace.
Birkan Yildiz _OBSS_
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