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Data List

The Data List Chart provides a structured breakdown of ticket attributes, giving granular details about each ticket. This is useful for tracking individual records rather than just summarized metrics.

Data List Chart

What This Chart Represents

A Data Table Chart provides a structured breakdown of ticket attributes, giving granular details about each ticket. This is useful for tracking individual records rather than just summarized metrics.

Key Use Cases

  • Detailed Ticket Monitoring: Allows help desk teams to track tickets with attributes such as priority, assigned agent, and feedback ratings.
  • Performance Analysis: Evaluates how quickly tickets are being handled by sorting them based on created time or priority.
  • User and Agent Tracking: Identifies which agents are handling the most tickets and how users are interacting with the support system.
  • Response Time Insights: If response times are included, it can help identify SLA breaches or delays.
  • Quality Assessment: With feedback ratings, managers can assess customer satisfaction for different agents or ticket categories.

How Each Column Helps

Column NamePurpose
Assigned ToShows which agent or team is handling the ticket.
Created AtIndicates when the ticket was created, useful for tracking resolution time.
Created ByIdentifies the user who raised the ticket, allowing user-specific insights.
Feedback RatingCaptures customer feedback, helping assess support quality.
Object IdA unique identifier for tracking specific tickets.
PriorityHelps sort and filter tickets based on urgency (High, Medium, Low).

Customization & Enhancements

  • Filters: Apply filters such as date range, priority, or category to refine the data.
  • Sorting Options: Change sorting to "Descending" for the most recent tickets first.
  • Additional Columns: Add fields like "Status," "Response Time," or "Category" for more in-depth analysis.
  • Export Feature: If available, exporting the table to Excel or CSV can help in reporting and offline analysis.

Additional Features for Data Table Charts

  1. Edit Chart

    • Allows users to modify the chart settings, including columns, filters, sorting, and other configurations.
    • Useful for making quick updates without creating a new chart from scratch.
  2. Unit Conversions

    • If applicable, this feature enables conversion of data values from one unit to another (e.g., time formats, currency, or measurement units).
    • Helps in maintaining consistency in reporting when working with multiple units.
  3. Export as CSV

    • Allows users to download the table data in CSV format for offline analysis.
    • Beneficial for sharing reports, conducting further analysis in Excel, or integrating with other tools.
  4. Subscribe as CSV

    • Users can subscribe to receive the latest data in CSV format at regular intervals (e.g., daily, weekly).
    • Automates reporting and ensures that users always have up-to-date information without manually exporting data.
  5. Duplicate Chart

    • Creates a copy of the existing chart with the same configuration.
    • Useful for making modifications to a chart without altering the original version.
  6. Delete

    • Permanently removes the chart from the dashboard.
    • Ensures unwanted or outdated charts do not clutter the dashboard.

Best Practices for Using Data List Charts

  1. Apply Relevant Filters: Start with broader data and then apply filters to focus on specific issues or trends.
  2. Choose Essential Columns: Include only the most relevant columns to avoid information overload.
  3. Set Appropriate Sorting: Sort by priority for urgent issues or by creation date for chronological analysis.
  4. Regular Exports: Schedule regular exports for reporting to stakeholders or for archival purposes.
  5. Combine with Summary Charts: Use alongside summary charts to provide both detailed and high-level views of your ticket data.

Data List Chart