How to Use bOnline’s AI Call Scoring

Modified on Mon, 10 Nov at 8:15 AM

Sentiment Analysis automatically detects the emotional tone of your customer calls - positive, neutral, or negative - helping you quickly understand how each interaction felt to the customer. It’s like having a built-in mood reader that works 24/7 to flag which conversations need attention, and which ones are hitting the mark.




Customer sentiment isn’t just about what’s said; it’s about how it’s said. This feature helps you:

  • Track customer satisfaction in real time

  • Spot unhappy customers before issues escalate

  • Coach your team using real-world examples

  • Measure service quality trends across your business

In short, it gives you the emotional data behind your call data.


How It Works

  1. Speech is analysed: The system reviews the tone, pacing, and language used during a call.

  2. Emotion is classified: Using AI, the call is tagged as Positive, Neutral, or Negative.

  3. Results are displayed: Sentiment labels appear in your call dashboard, allowing quick filtering and review.


Example:

  • Positive → “That’s exactly what I needed, thank you so much.”

  • Neutral → “Okay, I’ll see what I can do.”

  • Negative → “This has been really frustrating.”


Where to View Sentiment

  • In your Call Analytics dashboard, each call entry includes a sentiment indicator (usually shown as a colour-coded icon or label).

  • You can filter or search by sentiment type to find the calls you want to review - for instance, all Negative interactions from the past week.



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