Version 4.14

Known Issues

Enhancements

• Estimated indexing performance:
  Estimating the indexing performance is enabled to optimize resources.
• Phrases indicating sentiment:
  Phrases indicating sentiment is detected and presented on UI.
• Equal evaluation for all agents:
  During the assignments it is certain that all agents are evaluated equaly even a new agent has joined to the team.
• Puzzel screen recording:
  Screen Records received from Puzzel can be displayed on Knovvu Analytics UI.
• Showing percentage of the matched conversations with the phrases in a category:
  The users are enabled to see the dominant phrases causing category matching in Statistical Analysis page.
• Finding uncategorized conversations:
  Conversations that do not match any category can now be filtered, which was a highly requested feature by the customers. Thanks to this development, users can easily recognize new category needs and notice critical but forgotten categories by examining these conversations.
• Undo feature for removed category group:
  Removing a category groups by mistake is not a problem now. You have undo action.
• Multiple direction selection:
  Making a comprehensive analysis over a set of conversations from different directions is enabled by enabling multiple direction selection.
• Importing RTG conversation as a chat for offline analysis:
  RTG conversations can be imported to CA for offline analysis and analyzed, categorized or evaluated as a chat.

Improvements

• State notification for the Ask GenAI:
  Knovvu Analytics let you know about the result status of a project created in Ask GenAI.
• Last modifier information on categories:
  Last modifier information has been added on categories page to monitor and inspect.
• State validation of the categories defined in non-FCR:
  The categories defined in non-FCR cannot be deactivated now.
• Minor UI Improvements:
  Several minor improvements have been made to the user interface to enhance user experience and usability.
• Minor Bug Fixes:
  Various minor bugs have been addressed to improve overall system stability and performance.