Description
When AI processing is enabled for a call, NethVoice already displays the generated transcription and summary. It would be useful to also display the sentiment analysis result in the same view, providing users with a complete overview of the conversation.
Motivation
The sentiment is already computed during AI analysis, but it is not currently visible in the call details.
Displaying it alongside the transcription and summary would allow users to:
- Immediately understand the overall tone of the conversation.
- Better prioritize follow-up actions.
- Quickly identify critical or negative customer interactions.
- Have all AI-generated insights available in a single place.
The sentiment is expressed as a score from 1 to 10. The UI could display it using one of the following approaches:
8.7 / 10
█████████░ 87%
- A gauge/meter visualization.
Negative Positive
1----2----3----4----5----6----7----8----9----10
▲
8.7
- A numeric score accompanied by a qualitative label (e.g. Very Positive, Positive, Neutral, Negative, Very Negative).
🟢 8.7 / 10
Very Positive
😊 8.7 / 10
Any of these options would provide users with an immediate understanding of the conversation's overall sentiment while preserving the precision of the numeric score.
Description
When AI processing is enabled for a call, NethVoice already displays the generated transcription and summary. It would be useful to also display the sentiment analysis result in the same view, providing users with a complete overview of the conversation.
Motivation
The sentiment is already computed during AI analysis, but it is not currently visible in the call details.
Displaying it alongside the transcription and summary would allow users to:
The sentiment is expressed as a score from 1 to 10. The UI could display it using one of the following approaches:
A colored badge (e.g. 8.7 / 10).
🔴 1–3
🟠 4–6
🟢 7–10
A progress bar representing the score.
8.7 / 10
█████████░ 87%
Negative Positive
1----2----3----4----5----6----7----8----9----10
▲
8.7
🟢 8.7 / 10
Very Positive
😊 8.7 / 10
Any of these options would provide users with an immediate understanding of the conversation's overall sentiment while preserving the precision of the numeric score.