In-app color codes and email notifications mean you never miss a major issue or lose sight of after-sales service agreements. The way to deal with this is to have a workflow phase in which one expects third parties and to stop the watch while a ticket is in this workflow status (of course, you can set it with JIRA Service Desk). First, you can measure a real level of service for your team, but you can also measure a level of service for another department and provide that data for obtaining. SLAs enable support agents to meet customer service level expectations. By meeting these expectations, agents become more competent in processing client requests. The big difference between Deepser and other software in the industry is that you can apply service level agreements to any entity in the system. SLAs can be calculated not only for Service Desk requirements, but for each record in the system. With Deepser, you can monitor how long a device is defective or how long a resource is not available. The timer and ALS features allow you to stop worrying when calculating the seniority of your assets.
ALS Reports: Monitoring and measuring ALS performance management does not stop at making it available. Continuous improvement is necessary and requires follow-up. With HappyFox Reports, you create ALS reports on your behalf, monitor areas for improvement, and always set stronger SLA goals to deliver a sophisticated and in-depth customer service experience. Without the ability to place the ticket in “Waiting for approval” and stop the watch, some service-desks may be tempted to solve the problem because their part is finished and, in a way, manually transmit the request to the purchase. This is a bad exercise for obvious reasons, because the workflow is interrupted, the follow-up is complete and there is no more transparency in the process. This session should describe the services that customers can receive from you. This must be the full description of the ALS plan. Service level agreements define the level of service a company offers its customers. These levels of service include the agent`s response time to customer requests, settlement time and service costs. It`s not as easy to answer as it seems, because you don`t want to count the time that waits for customers to respond to the desk-metric service.
However, there are managers who think that no matter who is waiting for who. If a ticket is open, it is not dissolved. And everything that happens between “Created” and “Resolved” depends on how long it takes to solve a problem. It`s about setting the time up to the resolution so that it matches their culture, and finding a tool flexible enough to manage how you want to define and measure time until resolution. Now it`s an excellent metric. Anyone who manages a Service Desk (or support function) would like to know if and to what extent clients are resolving their own requests using basic knowledge items, instead of sending a request to the Desk Service. But how do you know that someone read the password reset article on your knowledge base and didn`t enter a servicedesk ticket? Can you correlate with the fact that requests to The Desk Service have decreased by 25% since the addition of 10 new knowledge-based articles? Was this 25% decrease a direct result of these new knowledge-based articles? When do you find out that there are other factors at play: a week later? A month? A year? There is no simple answer to these questions.