LV27 Pop-Out Help

Page tree

Versions Compared

Old Version 4

changes.mady.by.user Nirmala Suryaprakasha

Saved on

compared with

New Version 5

changes.mady.by.user Nirmala Suryaprakasha

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

The ticket creation reports and charts provide a comprehensive view of when the tickets were created, resolved, and assigned, enabling support teams to optimize their workflows and better understand customer needs. The reports in this section provide insight into how and when the tickets are created and the types of tickets. agents teams who created these tickets, the channel in which the tickets were created, etc.

Expand
titleTypes of Ticket Creation ReportsGraphts

The system offers various reports and charts to analyze ticket creation, giving insights into performance, trends, and workload distribution. Below are the different types of reports and charts mentioned:

Average Tickets Created by Day of the Week

Displays the average number of tickets created each day of the week, for example, Monday, Tuesday, Wednesday, and so on, aggregated over the selected date range. This helps identify the number of tickets created over the week's selected day and date range.

Tickets by Agent Team

Displays the tickets created by the selected agent team. This helps monitor workload distribution and performance across different teams.

Tickets Created by Channel

It shows how many tickets were created through different communication channels, such as phone, email, or SMS. This allows managers to see the preferred methods of contact for customers.

Tickets Created by Date

Displays the number of tickets created on each specific date within the chosen range. This is useful for tracking daily ticket creation trends and detecting peaks.

Tickets Created by Date and Channel

Combines ticket creation data by date and communication channel, providing a detailed view of when and how tickets are generated. This helps analyze patterns in customer behavior across different channels on specific dates.

Tickets Created by Hour

Provides insights into ticket creation by hour of the day, helping to identify when customers are most likely to open tickets and whether there are any time-sensitive spikes in support requests.

Tickets Created by Month and Year

Tracks ticket creation over a longer period, displaying the total number of tickets created each month or year. This helps with year-over-year or month-over-month trend analysis.

Tickets by Label

Displays the number of tickets associated with different labels, which can be used to categorize tickets based on specific issues, features, or departments.

Tickets by Label Component

A more granular version of the "Tickets by Label" report breaks down tickets by their label and the specific components they are associated with. This helps drill down into specific areas of concern.

Tickets by Ticket Type

Categorizes tickets based on their type (e.g., bug reports, feature requests, or general inquiries), providing insights into the nature of reported issues.

Unassigned Tickets by Date and Channel

Tracks how many tickets have not yet been assigned to an agent or team, breaking it down by date and communication channel. This helps managers address unassigned tickets quickly and ensure timely resolution.

Expand
titleFilter Criteria

Filtering Tickets refers to the ability to narrow down or sort through tickets based on specific criteria using the options provided in a filter tool. This helps agents or managers focus on particular sets of tickets, making it easier to manage and analyze them.

The following are the Filter options:

  • Date Range: You can filter tickets based on a predefined period such as Today, One Week, Two Week, Three Week, One Month".
  • Custom Dates: Offers flexibility to choose specific start and end dates for filtering tickets. This is useful when analyzing tickets created or updated during a particular time frame. You can select up to 60 days.
  • Agent Teams: Filters tickets based on specific teams of agents, allowing you to see only the tickets handled by a particular group (e.g., Technical Support, Customer Service, etc.).
  • Agents: Filters tickets assigned to or created by individual agents. This helps track the workload or performance of specific agents.
  • Components: Allows filtering by specific components, such as different services or products within the system. It is helpful for larger organizations dealing with multiple offerings.
  • Labels: Filters tickets based on custom labels or tags applied to tickets. These labels could represent different categories or specific issues (For example, urgent, billing, or bug).
  • Priorities: Filter tickets by priority levels (For example, low, medium, high, or critical). Helps agents focus on the most urgent or important tickets.
  • Ticket Types: Filters by the type of ticket, such as "Bug," "Feature Request," "Incident," or "Service Request." This helps categorize and manage different types of issues.
  • Time to Resolve (Hours): Allows filtering based on how long it took (or is expected to take) to resolve a ticket. This helps track tickets nearing or exceeding service level agreements (SLAs).

These filters help improve efficiency by providing a customized view of the tickets based on your specific criteria.

Expand
titleField Descriptions in the Report Table

The following are the field descriptions in the TIcket Creation report table. 

  • Name: Provides to the month, date, and week details

  • New Tickets: Number of new tickets created during the selected dates.

  • Tickets Created by Inbound:

  • Tickets Created by Outbound:

  • Tickets Created by Email: 

  • Tickets Created by SMS:

  • Unresolved Tickets:

  • Resolved Tickets:

  • First Contact Resolution:

  • Reopened Tickets:

Expand
titleViewing Reports

The report provides both Table and Graph options, and you can choose how to view the data using a Image Addedtoggle button. The toggle button allows you to easily switch between these views, depending on how you prefer to analyze the data.

The available view options are:

  • Graph: Displays the data visually using graphs (e.g., bar charts, line graphs), allowing you to quickly identify trends and patterns in ticket updates, comments, resolutions, and other key metrics.
  • Graph and Table: Shows both the graphical representation and the detailed table simultaneously. This option helps you compare the visual trends with the exact numerical data, providing a complete report view.
  • Table: Displays the data in a tabular format, listing the values for each field (e.g., updates, comments, tickets resolved) in rows and columns. This option is useful for viewing detailed figures and performing data analysis.