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  1. We currently leverage RingCX and RingSense to perform quality assurance (QA) reviews, coaching, and performance analysis for agent phone calls. These tools provide valuable insights such as call recordings, transcripts, sentiment, and AI-driven scoring. However, we have a significant number of agents who primarily handle customer interactions via email, and there is currently limited visibility or structured QA oversight for those interactions.

    Requested Enhancement
    We are requesting enhanced email interaction analysis and QA functionality within RingCX and/or RingSense, comparable to what is available for voice interactions.

    Desired capabilities include (but are not limited to):

    Visibility into agent email conversations within…

    5 votes

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  2. Goal is to be able to tell which Party Hangs Up with Sentiment and Trend Analysis. Contact Center Managers eagerly look for tools to determine if their agents or optimally the end user hangs up on the call. Then, using AI, to infuse the disconnects with Sentiment Analysis showing comparison to early disconnects and negative sentiment along with trend over the timeline requested i.e. today, 7,30,90 days. NOTE: each element in the report should be able to drill down to the data. If the agents negative calls are clicked user is taken to those negative calls for review.

    3 votes

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