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The AI-powered experience intelligence platform that turns user behavior into business outcomes.
Quantifying digital experiences through AI-driven behavioral heuristics and automated friction detection.
Medallia Decibel is a premier enterprise-grade digital experience analytics platform that utilizes advanced machine learning to process billions of digital interactions. Its proprietary Digital Experience Score (DXS) provides a real-time, quantified metric of user experience quality across websites and mobile applications. Technically, Decibel distinguishes itself through its Behavioral Heuristics engine, which identifies non-linear mouse movements, rage clicks, and rapid scrolling to pinpoint user frustration without manual tagging. By 2026, Decibel has integrated deeply into the Medallia Experience Cloud, offering a unified view of both 'what' users are doing and 'why' they are doing it through the marriage of behavioral data and direct feedback. The architecture is designed for high-scale, low-latency data processing, ensuring that session replays and heatmaps are available with minimal delay. It serves as a critical layer in the modern martech stack for data-driven product managers and UX researchers who require a scientific approach to identifying conversion bottlenecks and technical errors in complex single-page applications (SPAs) and native mobile environments.
An automated algorithm that scores every session based on five pillars: navigation, frustration, engagement, technical, and form experience.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Machine learning models that detect complex behavior patterns like 'Bird's Nesting' (erratic mouse movements) and 'Rage Clicking'.
High-fidelity reconstruction of user sessions with intelligent skipping of inactivity and automatic highlighting of key events.
Field-level analysis of form interactions, measuring hesitation time, abandonment fields, and re-entry rates.
Correlates JavaScript errors and API failures directly with user behavior and DXS impact.
Aggregated visualization of user journeys that highlights common paths and friction points across the entire site architecture.
Automated audience segmentation based on behavioral patterns and experience scores rather than just demographic data.
E-commerce sites often see drops at checkout without knowing if it's a UX issue or a technical bug.
Registry Updated:2/7/2026
Standard A/B tests show 'what' won but not 'how' the new design improved user psychology.
Development teams have hundreds of bugs but don't know which ones actually hurt revenue.