Scalable systems and methods for curating user experience test results

US11836591B1 · kind B1 · utility

Assignee

• Wevo, Inc · US

Inventors

• Dustin Garvey · Oakland, US
• Shannon Walsh · Boston, US
• Nitzan Shaer · Boston, US
• Janet Muto · Boston, US
• Jon Andrews · Boston, US
• Frank Chiang · Boston, US
• Alexa Stewart · Andover, US
• Hannah Sieber · Mendon, US
• Charlie Hoang · Boston, US
• Rick Alarcon Sisniegas · New York, US
• Alexander Barza · Cambridge, US

Key dates

• Filing date: Nov 4, 2022
• Grant date: Dec 5, 2023
• Expiry date: Nov 4, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/084
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Techniques are described herein for selecting, curating, normalizing, enriching, and synthesizing the results of user experience tests. In some embodiments, a system identifies a qualitative element within a result set for a user experience test. The system then selects a machine learning model to apply based on one or more attributes associated with the user experience test and generates a predicted visibility, quality, and/or relevance for the qualitative element. Based on the prediction, the system generates a user interface that curates a set of results of the user experience test.