Service level agreements (SLA)¶
A service level agreement (SLA) defines the level of support a customer can expect from a service provider. SLAs provide a timeline that tells customers when they can expect results and keeps the support team on target.
注解
The SLA Policies feature is enabled by default on newly created Helpdesk teams.
To turn off the feature, or edit the working hours, navigate to . Click on a team to open that team’s configuration page.
From here, scroll to the Performance section. To turn off the SLAs feature for the team, clear the SLA Policies checkbox.
创建新 SLA 政策¶
To create a new policy, go to , and click New.
Alternatively, go to , and click on a team. Then, click the SLA Policies smart button at the top of the team’s settings page, and click New.
On the blank SLA policy form, enter a Title and a Description for the new policy, and proceed to fill out the form using the steps below.
定义服务水平协议政策的标准¶
The Criteria section is used to identify which tickets this policy is applied to.
Fill out the following fields to adjust the selection criteria:
注解
Unless otherwise indicated, multiple selections can be made for each field.
Helpdesk Team: A policy can only be applied to one team. This field is required.
Priority: The priority level for a ticket is identified by selecting one, two, or three of the (star) icons, representing the priority level on the Kanban card or on the ticket itself. The SLA is only applied after the priority level has been updated on the ticket to match the SLA criteria. If no selection is made in this field, this policy only applies to tickets marked as
Low Priority, meaning those with zero (star) icons.Tags: Tags are used to indicate what the ticket is about. Multiple tags can be applied to a single ticket.
Customers: Individual contacts or companies may be selected in this field.
Services: This field is available only if a team has the Timesheets app enabled. This allows the ticket to link directly to a specific line on a sales order, which must be indicated on the ticket in the Sales Order Items field.
Example
A support team needs to address urgent issues for VIP customers within one business day.
The new policy, titled 8 Hours to close, is assigned to the VIP Support team. It only
applies to tickets that are assigned three (star) icons, which
equates to an Urgent priority level.
At the same time, the tickets can be related to multiple issues, so the policy applies to tickets
with Repair, Service, or Emergency tags.
建立 SLA 政策目标¶
A target is the stage a ticket needs to reach, and the time allotted to reach that stage, in order to satisfy the SLA policy. Any stage assigned to a team may be selected for the Reach Stage field.
Time spent in stages selected in the Excluding Stages field are not included in the calculation of the SLA deadline.
Example
An SLA titled 8 Hours to Close tracks the working time before
a ticket is completed, and would have Solved as the Reach Stage. Simultaneously, an
SLA titled 2 Days to Start tracks the working time before
work on a ticket has begun, and would have In Progress as the Reach Stage.
Meet SLA deadlines¶
As soon as it is determined that a ticket fits the criteria of an SLA policy, a deadline is calculated. The deadline is based on the creation date of the ticket, as well as the targeted working hours.
注解
The value indicated next to the Working Hours field of an SLA policy is used to determine the deadline. By default, this is determined by the value set in the Company Working Hours field under .
The deadline is then added to the ticket, as well as a tag indicating the name of the SLAs applied.
When a ticket satisfies an SLA policy, the SLA tag turns green, and the deadline disappears from view on the ticket.
重要
If a ticket fits the criteria for more than one SLA, the earliest occurring deadline is displayed on the ticket. After that deadline has passed, the next deadline is displayed.
If the SLA deadline passes and the ticket has not moved to the Reach Stage, the SLA tag turns red. After the SLA has failed, the red tag stays on the ticket, even after the ticket is moved to the Reach Stage.
Analyze SLA performance¶
The SLA Status Analysis report tracks how quickly an SLA is fulfilled, as well as the performance of individual team members. Navigate to the report, and corresponding pivot table, by going to .
数据透视视图¶
By default, the report displays in a Pivot view. Any SLA policies in the database with tickets that failed to fulfill a policy, are in progress, or have satisfied a policy are listed. By default, they are grouped by team and ticket count.
The pivot view aggregates data, which can be manipulated by adding measures and filters.¶
To change the display, or add additional measurements, click the Measures button to reveal a drop-down menu of reporting criteria, and choose from the options available.
Whenever a measurement is picked, a (check) icon appears in the drop-down menu to indicate that the measurement is included, and a corresponding new column emerges in the pivot table to show the relevant calculations.
To add a group to a row or column, click the (plus) icon next to the policy name and then select one of the groups. To remove one, click the (minus) icon next to the policy name.
图形视图¶
Switch to the graph view by selecting the (graph view) icon at the top of the screen. To switch between the different charts, select the related icon at the top of the chart, while in graph view.
A bar chart can deal with larger data sets and compare data across several categories.¶
A line chart can visualize data trends or changes over time.¶
A pie chart compares data among a small number of categories.¶
小技巧
Both the bar chart and line chart can utilize the stacked view option. This presents two or more groups of data on top of each other, instead of next to each other, making it easier to compare data. While viewing either a bar chart or line chart, click the (stacked) icon to toggle the stacked view option on or off.
Cohort view¶
The cohort view is used to track the changes in data over a period of time. To display the SLA Status Analysis report in a cohort view, click the (cohort) icon, next to the other view options.
The cohort view examines the life cycle of data over time.¶