Platform
Conversation Analytics
Integrations
Data Warehouse + API Ingest
Analysis
AskAI
AI Platform
Reporting
Action
Quality Assurance
Coaching
Export
Use cases
Voice-of-Customer Analysis
Compliance Risk
Missed Sales Opportunities
Churn and Escalation Detection
AI Chatbot Monitoring
BPO Governance
Customer Stories
Explore
Brex Builds a Conversation Insights Engine
Betterment Reduces Chatbot Risk
Angi Drives Sales & Reduces Compliance Risk
Resident Improves Retention & LTV
Oura Measures 100% Customer Sentiment
DraftKings Improves Business Outcomes With AI Coaching
Resources
Pricing
Webinars
The Guide to Conversation Analytics
Conversation Analytics: MaestroQA vs. Snowflake
The Art of Conversation Summit
Help Center
Learn
Predictive CSAT Playbook
Turning AI Insights into Action
Hybrid Bot & Agent Quality Program
Quality Beyond Agent Performance
Learn how brands can use contextual data to uncover the root cause of low customer satisfaction scores (CSAT) and then apply the right solution to improve them.
CSAT scores have been a popular metric for measuring CX for a long time. It’s easy to calculate and understand, but it doesn’t tell the whole story. Learn why.
In order to improve your CSAT scores and increase customer loyalty, you need to understand your Experience Blindspot and how it impacts agent performance.
Learn the importance of deep-diving into customer interactions for valuable insights. Discover strategies to uncover underlying issues and opportunities to improve support programs.
