Denver, CO, United States of America

Laura Bernabe Miguel

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Userzoom Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Laura Bernabe Miguel. Retrieved from https://idiyas.com/inventor/laura-bernabe-miguel

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Laura Bernabe Miguel and Her Patent in Usability Testing

Introduction

Laura Bernabe Miguel is an inventor associated with Denver, Colorado, and UserZoom Technologies, Inc. Her work includes a patent for characterizing usability-testing participants through their responses to study questions.

Latest Patents

Laura Bernabe Miguel is named on 1 patent: “Systems and Methods for Attribute Characterization of Usability Testing Participants.” The invention describes methods for determining participant attributes from screener questions and responses. It uses machine-learning models to extract topics and entities, then organizes the resulting information into an attribute dictionary that can be expanded as more information becomes available. The system can process responses differently depending on whether a question is Boolean, quantitative, single-response, or multi-response.

Career Highlights

Miguel’s patent reflects an approach to usability research that turns participant responses into structured, reusable information. The described attribute dictionary can help characterize participants as additional study data is collected.

Collaborations

Miguel is associated with UserZoom Technologies, Inc. Her listed coworkers include Jordi Ibañez and David Torres Pascual.

Conclusion

Laura Bernabe Miguel’s patent focuses on using machine learning and structured attribute data to support the characterization of participants in usability studies.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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