How are the heatmaps generated by AI?
Our deep learning algorithm predicts the first 4-5 seconds of user attention on a new stimulus. It relies on pre-collected eye-tracking data to make these
What is an AI-generated attention heatmap?
AI-generated attention heatmaps show which elements in your design are most likely to be noticed by your users. Previously gathered eye tracking data is used
How do I interpret the Clarity benchmark?
Clarity benchmark allows you to benchmark your design clarity to your industry standard. The Clarity benchmark diagram shows where your design ranks regarding
What is the difference between Areas of Interest and Percentage of Attention?
Areas of Interest are the areas or zones that you define on the heatmap to calculate specific data for those zones. There are also automatic areas of interest
What is Alexa Rank and its Value?
Alexa rank is a global website popularity ranking created by Alexa Internet company, a subsidiary of Amazon. Alexa uses web traffic and visitor engagement data
How do I interpret Clarity Score?
Clarity score shows how clear the design is for a new user, whether it is overloaded with elements and clashing colors or clean and clear. An algorithm takes
How do I define Areas of Interest?
Our algorithm defines some areas of interest (buttons, key titles, and images) automatically. However, we cannot stress it enough that users should be defining
How do I interpret Percentage of Attention?
Simple answer: Percentage of Attention provides quantified attention data (a percentage) of certain areas in your design with key elements inside them. By
What makes Attention Insight different from other heatmaps?
All heatmaps are visual representations of data that showcase how visitors interact with visual materials. There are different types of heatmaps which
