SCALABLE SYSTEMS AND METHODS FOR CURATING USER EXPERIENCE TEST RESULTS

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 a...

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Bibliographische Detailangaben
Hauptverfasser:	Garvey, Dustin, Chiang, Frank, Stewart, Alexa, Muto, Janet, Andrews, Jon, Alarcon Sisniegas, Rick, Walsh, Shannon, Sieber, Hannah, Shaer, Nitzan, Hoang, Charlie, Barza, Alexander
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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Beschreibung
Zusammenfassung:	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.