Submitting an Analytics support ticket

Description

Environment

Adobe Analytics

Issue/Symptoms

This article discusses how to effectively log a ticket with customer care for the fastest possible resolution.

Related reading: Adobe Analytics Admin Guide › Which Adobe Analytics tool should I use?

If you run into an issue and are a Customer Support Delegate, you can create a ticket with Customer Care. The following guide outlines each field and the most effective way to structure your issue to reach a timely resolution.

Resolution

Subject
The subject explains what is happening in a single phrase. Effective examples:

• Data feed file missing for April 23
• Error displaying workspace visualization

Description
Elaboration on what is happening and the circumstances that surround the error/question. Effective examples include:

• Data feed (ID: 1234) typically arrives by 10:00 AM. It is now 5:00 PM and the file still has not arrived.
• When creating a freeform table and connected visualization, the visualization does not update when selecting rows from the table.

Steps to recreate
A list of exact steps an Adobe representative can take to clearly see the undesired behavior reported. Be sure to include user-specific details, such as project names and date ranges used. The following is a well-written example:

1. Log in to Adobe Analytics using Example company and sample user.
2. Navigate to Workspace and load Test Project.
3. Select any line item in the freeform table.
4. Notice that the visualization reflects the selection.
5. Select another line item.
6. Notice that the visualization does not update for the new selection.

Priority
Priority dictates how urgent the issue is for your organization. All tickets created via this portal are handled as a P3 by default. If you require more urgent attention to the issue, call Customer Care directly and reference the ticket after submitting it.

• P1 issues are considered critical; typically reserved for data loss and major issues that prevent many organizations from accessing data.
• P2 issues are major, where impact is significant and requires additional attention.
• P3 issues are how most tickets are treated. Issues may negatively impact an organization, but is isolated in severity or mitigated via a workaround.
• P4 issues would be considered trivial, such as a typo in the UI or a minor inconvenience in using the tool.