Qualtrics, LLC

Microsoft Technology Licensing, LLC

Myung Ryul Jang

Lei Zhang

David J D'Souza

Richard Allen Pletcher

Peter M Wilson

Ayushman Dutta

Owen Hancock

Weijia Mao

Chao Lai

Sachin Patney

Matthew Al-Sheikh

David Seigle

Sharath Udupa

Sean Bergam

The present disclosure relates to systems, non-transitory computer-readable media, and methods for applying attribute definitions to various survey data and utilizing attribute definitions to generate survey analyses. In particular, in one or more embodiments, the disclosed systems intelligently determines attribute definitions to apply to digital surveys, digital survey questions, and digital survey responses. The disclosed systems can determine attribute definitions to apply to survey data based on user input, associated survey templates, associated prior use of attribute definition, analysis of the text of digital surveys, and a variety of other attributes of survey data. The disclosed systems can generate digital survey analysis by utilizing attribute definitions applied to a variety of types of survey data.

Determining and applying attribute definitions to digital survey data to generate survey analyses

This disclosure covers systems and methods that retrieve and transform a requested dataset into a data shape that a widget specifies for visualization. In certain embodiments, the disclosed systems and methods respond to data requests for widgets by retrieving datasets formatted according to different data models for different platforms. The systems and methods then transform the datasets into a data shape specified by the widgets. By transforming requested datasets to conform to data shapes specified by widgets, the disclosed systems and methods orchestrate the update of a widget (or multiple instances of a widget) with data that originally conformed to different data models and, in some cases, was formatted for different software applications.

Transforming datasets for visualization within widgets across multiple platforms and software applications

This disclosure relates to methods, non-transitory computer readable media, and systems that generate experience-journey timelines that map touchpoints along a journey to experience data representing experiences of an entity at such touchpoints. Specifically, the disclosed systems can identify touchpoints and experience data indicating experiences of a user, organization, or other entity. Subsequently, the disclosed systems can map experience data to the touchpoints corresponding to the entity. Using such mappings, the disclosed systems can generate experience journey timelines that indicate mappings between particular experience indicators and particular touchpoints. Additionally, the disclosed systems can provide experience-journey timelines for display in graphical user interfaces and facilitate functionalities to explore data underlying the experience indicators at each touchpoint in the experience-journey timelines.

Generating visual experience-journey timelines using experience and touchpoint data

A method and system for providing a common operating system feature set for supporting a variety of operating system configurations is described. The common operating system feature set is organized to provide a minimal memory footprint applicable to a number of devices and methods of deployment. The common operating system includes dependencies among operating system components that provide a selection of integrated components that are validated for reliability. The common operating system includes an application program interface set that provides functionality for a variety of operating system scenarios.

Method and system for providing a common operating system

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Renton, WA, United States of America

Myung Ryul Jang