Sentiment Analysis Report
Last updated
Last updated
The Sentiment Analysis report displays information relating to email sentiment analysis allowing users to quickly and clearly see developing trends regarding incoming emails and take action where necessary.
In order for the Sentiment Analysis report to be available, the EnateAI Sentiment Analysis integration must be enabled (this can be done in Enate's Marketplace in Builder). When this integration runs it generates the data needed for the report. Once this integration has been activated, information will automatically begin to be sent into and displayed in the report.
Access to and the ability to edit the sentiment report is controlled by permissions in user roles, in the same way as all other reports within Enate. If users do not have the right permissions enabled, they will not be able to access the report. To edit the report users will need the 'Create Custom Reports' permission enabled.
Here are some of the type of information which can be found within the report
View the overall share and count of incoming emails analysed as having a positive, neutral or negative sentiment.
Track the fluctuation of email sentiment over time. Look out for any significant changes and address them accordingly.
Compare email sentiment across your companies, regions, services and processes. Take action accordingly.
Identify top senders based on email volume and sentiments to address customer concerns effectively and efficiently.
View the agents that receive the highest volume of positive or negative emails, highlighting areas for improvement or recognition.
View how the number of agents a work item is assigned to affects client sentiment. Take action accordingly.
View how the length of time a work item is open for affects client sentiment. Take action accordingly.
View how meeting and not meeting the SLA on a work item affects client sentiment. Take action accordingly.
View how reopening work items affects client sentiment. Take action accordingly.
View how raising defects on work items affects client sentiment. Take action accordingly.
See below for a complete list of all the available data fields that can be used within the Sentiment Analysis report:
Table | Fields | Description |
---|---|---|
Context | Contract | Name of the Contract |
Context | Customer | Name of the Customer |
Context | Service | Name of the Service |
Context | Supplier | Name of the Supplier |
Date | Date | Calendar range of dates for filtering data |
Date | Month | Months of the dates |
Date | Year | Year of the dates |
Feedback | Comments | Feedback comments given on each workitem |
Feedback | Logged | Feedback logged date in date time format |
Feedback | LoggedDate | Feedback logged date in date format |
Feedback | Rating | Feedback rating from 1 - 5 |
Feedback | 6M Moving Avg(Ratings) | 6 months moving average over the number of ratings. To be visualised against dates. |
Feedback | Avg. Rating | Average ratings given across all workitems |
Feedback | Total Ratings | Total number of ratings given |
Feedback Types | Feedback Type | Ratings grouped as Happy, Unhappy & Neutral |
Process | Process | Name of the process each Work Item belongs to |
Process | Process Group | Process group given for Cases / Tickets |
Process | Work Item Type | Type of the Work Item (Ticket, Action or Case) |
Sentiment Scores | Logged | Email logged date in date time format |
Sentiment Scores | LoggedDate | Email logged date in date format |
Sentiment Scores | Sender | Email sender's full name or email address (depending on whichever is availible) |
Sentiment Scores | Sentiment Confidence | Confidence level of the email classification (or sentiment score) in percentage (0 - 100%) |
Sentiment Scores | 6M Moving Avg | 6 months moving average over the number of emails that have sentiment scores. To be visualised against dates. |
Sentiment Scores | Email Count | Total number of emails that sentiment score |
Sentiment Scores | Work Item Count | Total number of workitems with emails that have sentiment score |
Sentiment Types | Sentiment Type | Types of sentiment (Positve, Negative or Neutral) |
Ticket Categories | Ticket Category1 | Ticket Category level 1 |
Ticket Categories | Ticket Category2 | Ticket Category level 2 |
Ticket Categories | Ticket Category3 | Ticket Category level 3 |
Users | User Name | Full name of the user responsible for the work item |
Users | Email Address | Email address of the user responsible for the work item |
Users | Team Manager | Full name of the manager of the users responsible for the work item |
Work Items | Assigned User Count Groups | Grouping of Assigned User Count into different buckets (e.g., 0, 1-3, 3-5, 5-7 etc.). Assigned User Count is the unique number of users assigned to the work item througout it's lifecycle (from start to end). |
Work Items | Customer Duration(Hrs) | Total time (in working hours) taken to complete the work item as per the customer calendar. Value will be blank if the work item is still in progress. |
Work Items | Customer Duration Groups | Grouping of Customer Durations into different buckets (e.g., 0-24, 24-48, 48-72, 5-7 etc.) |
Work Items | DueDate | Work Item Due Date in date time format |
Work Items | EndDate | Work Item End Date in date time format |
Work Items | Has Defects | Whether the Work Item has defect or not (Yes or No) |
Work Items | Is Reopened | Tickets that got opened after going to resolved status |
Work Items | Reference | Reference number of each Work Item |
Work Items | ResolvedDate | Work Items Resolved Date in date time format |
Work Items | SLA | Service Level Agreement to indicate where Work Item is Overdue or not |
Work Items | StartDate | Work Item Start Date in date time format |
Work Items | Title | Title of the Work Item |
Work Items | Supplier Duration(Hrs) | Total time (in working hours) taken to complete the work item as per the supplier calendar. Value will be blank if the work item is still in progress. |