Level AI has unveiled Inferred CSAT (iCSAT), a groundbreaking platform feature that automates customer satisfaction (CSAT) scoring across all customer interactions. By harnessing advanced Generative AI and semantic intelligence, iCSAT provides actionable, impartial insights, revolutionizing how CX leaders assess and improve customer satisfaction.
Traditional CSAT methods rely on surveys, capturing feedback from only a small, often biased sample of customers. iCSAT resolves these limitations by analyzing every interaction, offering a complete and accurate view of customer sentiment, effort, and resolution. iCSAT sets a new benchmark in customer satisfaction measurement by:
- Analyzing 100% of Customer Interactions: Delivers unbiased CSAT scores based on real conversations, not limited survey samples (typically only 1-5%).
- Leveraging Generative AI: Goes beyond sentiment analysis, incorporating customer effort and resolution insights to provide a comprehensive view of customer satisfaction.
- Driving Actionable Results: Seamlessly integrates with Level AI’s VoC and QA solutions to uncover root causes, enable correlations with key performance metrics, and provide tailored coaching opportunities.
“As CX leaders, we’ve relied too long on incomplete and biased survey data to gauge customer satisfaction,” said Ashish Nagar, CEO of Level AI. “With iCSAT, we’re empowering businesses to understand the full spectrum of their customer interactions and drive meaningful improvements across their service, product, and operations teams.”
iCSAT is available now, bundled within Level AI’s existing Voice of the Customer (VoC) product. The company will host a webinar on January 23 to showcase iCSAT in action. CX leaders are invited to schedule a demo here to experience how iCSAT can transform their customer satisfaction strategies.
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