Qualtrics, LLC

Varun Nandimandalam

Anderson Quach

Manisha Powar

Léonie Brown

Ambarish Sridharanarayanan

Matthew Primmer

Srivathsan Varadarajan

Monique Piras

Yuchen Zhou

The present disclosure relates to systems, non-transitory computer-readable media, and methods for determining an existence of a perception gap for an interaction event. In particular, in one or more embodiments, the disclosed systems generate a suggested action and provide the suggested action for display via a graphical user interface of an agent device. In some embodiments, the disclosed systems utilize a machine learning model to generate the suggested action for the agent. Furthermore, in one or more embodiments, the disclosed systems generate an agent performance score reflecting an overall performance of an agent. In some embodiments, the disclosed systems utilize a machine learning model to generate the agent performance score.

Generating action plans for agents utilizing perception gap data from interaction events

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Bellevue, WA, United States of America

Varun Nandimandalam