1. Unique data visualization

    By triangulating facial expressions, physical reactions, and eye tracking data, CubeHX provides UX researchers and designers with unique insights on what generates emotion or cognitive load on their interface. Using a patent pending data visualization tool, CubeHX creates rich visualizations of what users actually experience along the entire user journey. 

  2. Combining eye tracking, physiological measurements, and emotions

    Using machine learning to generate emotional and cognitive indexes, CubeHX maps AI based measures onto valuable visualization tools. This allows for more insights into users’ various emotional states while using interfaces.

    cube laptop screenshot duo talking meeting male female
  3. Lower overall costs

    CubeHX works with existing lab infrastructure and combines data received from eye tracking, facial recognition, and physiological measures, in real time, to get the most accurate and comprehensive view as to how the end user is responding to the given product. By delivering instant analysis metrics overall costs associated with user experience labs are much lower.  

  4. Up to 6 times faster from tests to results

    CubeHX delivers insights almost instantly, allowing customers to quickly access accurate data on user interaction with their product or service. Thanks to the unique data visualization output, CubeHX allows for a faster and more effective decision making process.

    CCS-cube UX Lab
  5. Seamless multi-site testing

    In the fast-changing world of UX, it is important that results are as international and diverse as possible. CubeHX is cloud-based lab management software, enabling companies with international offices to test locally, and aggregrate results centrally, while improving the quality of the data delivered. Seamless multi-site testing allows for an efficient and immediate global assessment of your product. 

  6. Fully compatible with Noldus tools for UX research

    CubeHX is fully compatible with Noldus tools for UX research, such as FaceReader for facial expression and emotion data, and The Observer XT, to streamline all data.


Why triangulate?

What is triangulation? Triangulation allows for the integration of multiple data points by using more than one method for data collection. Why this is interesting for UX research and customer journey mapping?

Triangulation enables UX professionals to determine a single point in time from where the convergence of measurements taken from two or more distinct points intersect. Thanks to triangulation, UX researchers get to know a significant amount more about what is happening to their users at any given point along the customer journey.

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