Traditional satisfaction surveys measure what the customer says when asked, and very few respond. Sentiment analysis measures what the customer actually felt during the interaction, processing the content of the conversation itself with cognitive models.
This analysis layer integrates with the same tracking infrastructure we use to audit inbound and outbound calls: the same dashboards that show volume and response times can also show satisfaction trends by agent, campaign, or request type.
The goal is not just to measure, it is to detect early when an account or a type of interaction starts generating friction, before it turns into a cancellation or a public complaint.
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