UXSniff is an innovative tool driven by artificial intelligence, offering insights into user experience through the examination of session recordings and the detection of irregular click patterns on websites. Functioning as a virtual UX analyst, it reshapes the process of UX analysis. By integrating a tracking code into their website, users enable the tool to monitor and assess user behavior.
The platform furnishes session recordings, granting users a firsthand view of how visitors interact with their website, encompassing scrolling, navigation, and instances of intense clicking. This aids in pinpointing areas of frustration and opportunities for enhancement.
Moreover, UXSniff harnesses the capabilities of the ChatGPT API to produce synopses of session recordings, furnishing users with rapid comprehension of each session’s focal points without necessitating full viewing. Additionally, it provides website heatmaps, visually representing aggregated user behavior data in an interactive manner.
These heatmaps illustrate user scrolling, clicking, and navigation patterns, delivering invaluable insights into user engagement. Notably, the platform features a unique Heatmap Wayback Machine, enabling users to delve into past website designs.
Furthermore, UXSniff offers automated audits for both SEO and UX, flagging and reporting irregular user behaviors while also identifying SEO and UX deficiencies.
It incorporates a feedback widget to streamline the collection of descriptive feedback from visitors and an on-site survey tool for crafting surveys to glean insights into user preferences. Overall, UXSniff reimagines the landscape of user experience insights by leveraging AI to scrutinize user behavior and furnish actionable recommendations for website enhancement.
