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Status Planned for future release
Created by Guest
Created on Mar 26, 2025

RELATED IDEAS

Analytics: Measure the Ticket Deflection Data

○ Request: measure how the chatbot is reducing the number of support tickets.

○ Details: This involves quantifying the chatbot's impact on ticket volume. See data that shows how the chatbot has reduced the number of tickets that would otherwise have been submitted. He also mentions the importance of user feedback (e.g., "thumbs up/down" ratings) to assess the bot's effectiveness in deflecting tickets.

○ Example: "ticket deflection" and the need for analytics to show user feedback like "thumbs up down priorities" to determine if the bot is effective.

○ Business Justification: This is a key metric for demonstrating the ROI of the chatbot. By showing a reduction in ticket volume, businesses can quantify the cost savings associated with the chatbot, such as reduced agent workload, lower support costs, and increased efficiency. User feedback provides further validation of the bot's effectiveness.

Idea priority Urgent
  • Post comment
  • Admin
    Laurent Tillette de Clermont-Tonnerre
    Apr 30, 2025

    Improvements is to be considered for new agentic chat coming out this coming month/quarter.

    Reply

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