Conversational Insights helps users detect and visualize patterns in
their contact center data. Understanding conversational data drives business
value, improves operational efficiency, and provides a voice for customer
feedback.
You can import your raw contact center interaction data into
Insights in order to:
Run machine learning analytics to gain additional information such as agent
and caller sentiment, entity identification, and call topics.
Automatically identify interesting interactions in need of further review.
Review a conversation with audio playback, transcript synchronization and
analytics annotations.
Export your data to BigQuery for custom analysis or visualization in Looker.
Insights seamlessly integrates with all other Contact Center AI
Solution products, allowing you to import conversations from Dialogflow and
Agent Assist.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-05 UTC."],[[["Conversational Insights allows users to discover and visualize patterns in their contact center data."],["The platform utilizes machine learning analytics to provide information like sentiment, entity identification, and call topics."],["Users can automatically identify key interactions for review, complete with audio playback and transcript synchronization."],["Data can be exported to BigQuery, enabling custom analysis or visualization in Looker."]]],[]]
