Insights
Turn support conversations into a strategic advantage
The Isara Insights Dashboard is your gateway to powerful, AI-driven analytics that transform customer conversations into actionable intelligence. Designed for support teams, it provides a seamless way to explore historical data, track key performance metrics, and uncover hidden trends.
With intuitive visualizations and real-time insights, you can enhance customer satisfaction and optimize support operations—all from one central platform. From monitoring customer sentiment to identifying upsell opportunities and reducing churn, Isara provides the intelligence you need to make smarter, data-driven decisions—all in one place.
Customer Monitoring
Traditional reporting tools highlight what happened, but not why it happened. Support leaders often discover emerging issues only after they have already escalated.
Isara’s Customer Monitoring automatically tags every conversation and flags areas of concern in real time. By combining topic detection, sentiment analysis, and anomaly tracking, it reveals where customers are struggling—whether it is a recurring product issue, process gap, or communication breakdown. This enables teams to act early, resolve underlying causes, and prevent minor frustrations from turning into churn risks.
Predicted CSAT
Traditional CSAT scores capture only a fraction of customer sentiment, often missing the voices of those who don’t respond to surveys.
Isara’s predicted CSAT offers a comprehensive view by analyzing the tone, language, and engagement patterns of all interactions. This AI-driven approach delivers a more accurate representation of overall satisfaction, helping businesses identify areas for improvement and strengthen customer relationships based on real engagement, not just survey responses.
Customer frustration over time
Understanding customer sentiment trends is key to improving long-term satisfaction.
Isara’s Customer frustration tracks the emotional tone of customer interactions over time, categorizing them from “Cool” (positive) to “Hot” (high dissatisfaction). The system enables teams to analyze temperature variations, identify trends, and detect spikes in hot temperature.
By monitoring sentiment shifts over time, teams can better understand long-term patterns in customer satisfaction and take proactive steps to mitigate potential churn risks.
