February 09, 2026
Press Ganey Rolls Out Narrative HX, a New AI Tool for Multilingual Feedback Analysis
Press Ganey has released Narrative HX, an AI-driven solution that transforms how organisations analyse unstructured customer feedback. The new platform converts raw comments and responses into clear, actionable insights within minutes, marking a significant shift from traditional methods that often take weeks to deliver results.
The healthcare experience leader’s latest innovation addresses a challenge faced across industries, which is mountains of customer feedback that remain underutilised because analysing it manually is too slow and resource-intensive. Narrative HX uses generative AI to automatically identify patterns, sentiment, and emerging themes from survey comments, contact centre transcripts, digital channels, and social media platforms.
Accuracy Levels at High Speed
According to Press Ganey, the solution dramatically outperformed older rule-based and machine learning approaches in head-to-head testing. The platform typically achieves accuracy levels in the mid-90% range, with double the recall rate of legacy systems. Perhaps most impressively, organisations can leverage the speed with which they can create custom analytics models.
“Today, organisations receive staggering volumes of unstructured feedback, but the real challenge is turning that noise into insight that fuels action. Narrative HX makes that possible. AI surfaces themes, sentiment, and trends in real time, giving leaders in every industry the clarity they need to act quickly,” explained Darren Dworkin, Chief Operating Officer of Press Ganey.
The platform offers several standout features that set it apart from conventional text analytics tools, such as an end-to-end generative AI capability that eliminates the need for manual rule creation, allowing users to build tailored models almost instantly. The system automatically detects and analyses feedback in approximately 50 languages, while displaying categories in English for consistent reporting across global operations.
Organisations can create custom categories that align with their specific business needs and view sentiment analysis at both the individual comment level and broader theme level. Results integrate seamlessly into existing HX Platform dashboards through Studio visualisation, meaning teams don’t need to learn new interfaces or tools. The platform also allows users to save and reuse models to track changes and trends over time.
A New Dimension of Customer Feedback
Early adopters across healthcare, financial services, insurance, retail, and market research sectors have already reported measurable benefits, including faster analysis cycles, improved team productivity, and the ability to respond quickly to emerging customer concerns.
One US healthcare organisation provides a compelling real-world example of Narrative HX in action: “Narrative HX has transformed how we act on patient feedback. What once required hours of manual effort is now automated, giving our team faster insights and more time to focus on what matters most to patients.”
The organisation’s Senior Experience Analytics Specialist used the platform to uncover a specific issue: patients were struggling to locate and access the patient portal. Because the insight surfaced quickly, the health system could address the problem immediately rather than discovering it weeks later through traditional analysis methods.
By reducing turnaround time, Narrative HX democratises advanced text analytics, making sophisticated analysis accessible to everyday users while still scaling to meet enterprise-level demands. This shift enables organisations to bring qualitative customer voices into daily decision-making processes, whether they’re working to improve customer experience journeys, build brand trust, or accelerate global market research initiatives.
The launch reflects a broader industry trend toward AI-powered feedback analysis. Recent research shows that organisations are increasingly moving beyond traditional surveys to capture unstructured feedback from multiple sources. According to industry reports, 60% of organisations with voice of customer programs now supplement surveys by analysing voice and text interactions.
