---
title: "Version 5.16"
slug: "version-516"
updated: 2025-09-05T05:59:40Z
published: 2025-09-05T05:59:40Z
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.knovvu.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Version 5.16

## Version 5.16
### September 5, 2025

## Enhancements

**Department Distribution in Reports**  
  Users can now visualize how conversations are distributed across departments in dynamic reports, making it easier to spot trends and compare performance.

**Custom Conversation Views**  
  Users can now choose which attached data columns appear in the Conversations page, tailoring the view to their needs.

**Evaluting the Analyzed Conversations**  
Evaluations over the assignments can only apply to conversations that have been analyzed, ensuring data quality.

**Full Department Path Visibility**  
Instead of only seeing the department name, users now see the complete department path for each conversation, providing better context.

**Azure Configuration Update**  
Resource naming conventions have been updated to use API Base, ensuring consistency and simplifying configuration.

**Data Feeder**  
  Conversation metadata, transcripts, sentiment, acoustic, and emotion results are now automatically published to RabbitMQ. This makes it possible to integrate richer analytics with other systems in real-time.
  
## Improvements

**Work Continuity**  
The system remembers the last reviewed conversation and preselected channel information, helping users pick up exactly where they left off.

**Smarter Evaluation Filters**  
  When evaluations are accessed via email links, the filters on the Evaluation Results page are automatically applied, saving time and effort.

**Minor UI Enhancements**
Several minor improvements have been implemented to enhance the user interface. These enhancements make the interface more intuitive and user-friendly, contributing to a better overall user experience.

**Minor Bug Fixes**
Various minor bugs have been addressed to improve overall system stability and performance. These fixes result in a smoother and more reliable user experience.