Skip to main content
This document covers the customer experience layer in Analytics and Insights: the Customer Voice covers intent classification, sentiment trajectory, and frustration detection, and the Feedback for end-user ratings and verbatim comments.

Customer insights

The Customer Insights page helps you understand what customers are asking about and how they feel about the experience. It combines intent classification, sentiment scoring, frustration detection, and resolution tracking into a single view to help you identify emerging topics, detect dissatisfaction early, and measure whether the agent resolves the intents it encounters. Navigation: ProjectInsightsCustomer Insights Date range selector: Use the toggle to select 7d, 30d, or 90d. Filters: Select All environments and All channels at the top of the page to narrow the data by deployment environment and channel. Filter selections are reflected in the page URL, so you can bookmark a filtered view or share it with a colleague.

Customer sentiment summary

A banner at the top displays a contextual summary of the analyzed data, for example: “322 analyzed conversations · 144 intent-classified · 322 sentiment-scored · 13 intents detected · 26.7% frustration.” A sentiment indicator (for example, “Mixed Sentiment”) provides a quick qualitative read.

KPI metric cards

Intent distribution

A horizontal bar chart ranks detected intents by volume. Each bar shows the intent name, count, and percentage of total conversations. The chart groups low-volume intents (typically those below a threshold count) into an “Other” category. The footer indicates the total classified intent assignments and how many low-volume intents the chart grouped.

Sentiment trajectory

A side-by-side panel displays conversation counts across three sentiment directions: The footer indicates the total conversations with sentiment data contributing to the trajectory analysis. A section below the distribution charts plots intent volumes and sentiment scores as time-series data, enabling you to track whether specific intents are growing or shrinking and whether sentiment is trending in the right direction.

Feedback

The Feedback page surfaces end-user feedback captured directly from chat sessions. It gives you access to raw ratings and verbatim comments so you can identify satisfaction patterns, detect underperforming agents or channels, and prioritize improvements based on what users say. Navigation: ProjectInsightsFeedback Date range selector: Use the toggle to select Today, 7d, or 30d. Filters: Select All environments and All channels at the top of the page to narrow the data by deployment environment and channel. Filter selections are reflected in the page URL, so you can bookmark a filtered view or share it with a colleague.

Filters

Four filter controls let you narrow feedback results: Select Refresh to reload feedback data with the current filter selections.

Feedback table

The table lists one row per piece of feedback. Alongside the rating, comment, agent, and channel, two columns identify who left the feedback.

Export feedback

Select Export to download the filtered feedback as a CSV file. The export includes User ID and Custom dimensions alongside the ratings, comments, and session references, so you can join feedback to your own customer records offline.