Sentiment Analysis
Sentiment Analysis helps you understand how customers feel during their conversations with AI. Once enabled, the system evaluates the emotional tone of each completed conversation and assigns one of the following levels:
Strongly Negative
Slightly Negative
Neutral
Slightly Positive
Strongly Positive
For negative experiences, it also identifies the main reason behind the sentiment (e.g., product complaints, delivery delays, pricing concerns, service dissatisfaction). This makes it easy to see what is driving frustration and where improvements will have the most impact.
1. Define Sentiment Reasons
Create and manage sentiment reasons in:
Settings → AI & Automation → Sentiment Analysis
Each reason can include:
Name — the category
Description — guidance for AI classification (optional)
Channels — limit the reason to specific channels (optional)
Example reasons:
Customer Service
Issues with service quality, response times, or agent behavior
Product
Problems with product quality, features, or functionality
Price/Value
Concerns about pricing, perceived value, discounts
Shipping/Delivery
Delays, damaged packages, tracking issues
Returns/Refunds
Issues with the refund or return process
Payments/Checkout
Billing problems or checkout failures
Other
Anything not covered by the above categories
2. Automatic Classification
After each conversation is closed/resolved or handed off:
The system analyzes the overall emotional tone
Assigns a sentiment level
Applies the most relevant sentiment reason
Sentiment Levels:
Strongly Negative
Slightly Negative
Neutral
Slightly Positive
Strongly Positive
Analytics
Sentiment performance is available in:
Metrics → Sentiments
Two insights views:
Customer Sentiment
A stacked chart showing how conversations distribute across sentiment levels over time.
Negative Sentiment Reasons
Breaks down negative conversations by the reason assigned.
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