Audit User Conversations in 8x8 Admin Console
Objective
Audit user chat conversations as an administrator from
within 8x8 Admin Console.
Applies To
8x8
Admin Console
Audit
Management
Procedure
|

|
Note: Due to the sensitive nature of this role, it
is not assigned to any user by default, and only the primary (Super Admin)
has initial access to the Audit Management Admin role which they must
assign to themselves, and can assign to other administrators.
Historical chat messages of deleted users can also be
retrieved through Audit Management.
|
Log
in to 8x8 Admin Console.
Super
Admins must assign the Audit Management Admin role to
admins who require access, including themselves.
From Home > Setup,
select Audit Management.
Select
the desired filters from the following choices:
|
Filter
|
Description
|
|
Attachments
|
Select to audit chats based on attachments exchanged
during the conversation.
|
|
Author
|
Select to audit all users or specific users from the list.
|
|
Date range
|
Select the time period for audit. You can choose from
predetermined date ranges or enter a custom date range.
|
|
Keyword
|
Select to filter the conversations based on specific
keywords.
|
|
Room
|
Select to filter the conversations of specific rooms. This
option will filter by type of chat such as direct, forum (Room), or SMS.
|
Click Generate
Archive. Based on the volume of the data retrieved, it can
take up to 24 hours for the archive to be generated.
Once
complete, the Status will change from In
progress to Completed.
Click Download. The
file will begin downloading.
Note: For deleted agents, the agent name will not
populate under 'author' unless the 'date' filter was set to prior to their
deletion. Admins can check the audit for when the agent was deleted.
Additional Information
The audit files are created in JSON format. We
recommend that you use an e-discovery tool to parse information in these files.
JavaScript Object Notation (JSON) is a format used to store structured data in
JavaScript derived data format. It can be read in a text editor (like notepad)
but we recommend using an approved e-discovery tool to parse the data. Example
of chat message below.
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