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UserWatch

AI-driven insights into user behavior on your website.

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About

UserWatch is an advanced AI tool that specializes in the inspection and analysis of user behavior. It gives an understanding of how users interact with your website, helping identify potential design issues.

The AI reviews and analyzes user session recordings, informing you where visitors might be getting lost or frustrated, providing immediate insights. It automates design analysis, freeing you from the need to manually review numerous sessions after each design update.

The tool offers a swift, objective analysis of user behavior that eliminates potential confirmation bias, unlike manual reviews that risk focusing on supporting initial hypotheses.

Insights from UserWatch are presented via an intuitive insight table interface, which becomes available after connecting the tracking tag to your website.

This interface includes trackable changes in user behavior concerning updates, notations for session proofs, capacity for loading new sessions weekly, and the ability to analyze user behavior at high speed.

Being a valuable solution for UX/UI research and web analytics, UserWatch aims to significantly reduce the time spent reviewing user sessions, consequently enhancing the efficiency of Product Managers and UX researchers.

UserWatch interface showing homepage

Key Features

Automates design analysis
Eliminates potential confirmation bias
Intuitive insight table interface
Tracks changes in user behavior
Notations for session proofs
Loads new sessions weekly
High-speed user behavior analysis
Saves time on session reviews
Enhances efficiency of PMs and UX researchers
Detects potential website design issues
Objective analysis of user behavior
Immediate insights into user interaction
Website tracking tag compatibility
Useful for UX/UI research
Useful for web analytics
Offers session proof citations
Ability to spot UX frustrations
User behavior trend tracking
Easy connection to websites
Insightful for product management

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Information

Pricing No Pricing
Favorites 0
Release Date January 9, 2024

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