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Customer Experience Insights

Customer Experience Insights

Customer Experience Insights (CX Insights) analyzes conversational data from across the customer journey to provide customer care leaders and managers with data-driven insights that boost efficiency, improve agent performance, and create superior customer experiences.

  • Uncover the “why” behind every customer interaction

  • Empower customer service representatives to excel with AI-driven performance insights

  • Understand AI agent performance, problem areas, and improve customer experiences 

  • Reduce wait times and optimize operational efficiency

Benefits

Actionable insights

Automatically identify trends and intent from conversations to generate deeper insights.

Higher quality

Analyze every customer conversation to improve response and quality metrics.

Accuracy at scale

Classify conversations at scale and with greater accuracy.

Key features

Data insights to better understand your customers

Quality AI

AI that automatically scores every customer conversation (versus a small sample) against your business and compliance critical criteria. Move beyond static quality assurance with conditional scorecards that adapt to conversation context enabling customers to build smarter, more flexible performance evaluations.

Discovery engine

Automatically uncover trends and intent from customer conversations and provide AI-generated insights that improve customer service operations.

Smart highlighters

Automatic highlighting of the conversation for important moments. Built by Google and out-of-the-box ready for your data, smart highlighters include moments like when your customers complain, when your customers ask for a supervisor, or when your agent tries to put your customer on hold.

Topic model

Leveraging Gemini’s large language models this enables users to create an unsupervised model of their conversation data and automatically creates a taxonomy of their conversation drivers.

By improving average agent handle time across 500,000 monthly calls, we unlocked 28,000 hours annually, boosting efficiency at scale.

Shikha Chadha Sr. Principal, Product Management AI Products, Mr. Cooper

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Documentation

Key resources and documentation

Google Cloud Basics

Quality AI basics

Quality AI analyzes customer service conversations, or interactions between contact center agents and users.

Google Cloud Basics

Creating a topic model

Topic Modeling helps you discover topics (call drivers) in conversations between contact center agents and end users.

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Pricing

CX Insights pricing details

Pricing is based on the feature used per conversation

Feature

Cost

CX Insights Analysis (Sentiment, Entities, Highlights)

$2 per 100 conversations

Topic Model labeling

$2 per 100 conversations

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