UTILIZING LARGE LANGUAGE MODELS TO GENERATE OBFUSCATED SUMMARIES OF EMPLOYEE FEEDBACK DATA AND MODIFICATION SUGGESTIONS BASED ON THE EMPLOYEE FEEDBACK DATA
The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine learning to generate an obfuscated summary for employee feedback data and generating a modification suggestion based on the employee feedback data. In particular, in one or more embodiments, the disclosed systems generate a prompt for an obfuscation and summary generation large language model to generate an obfuscated summary of employee feedback data and provide the obfuscated summary within a manager feedback interface on a manager client device. Moreover, in one or more embodiments, the disclosed systems receive a request to generate a modification suggestion from the manager feedback interface, then utilize a recommendation large language model to generate a modification suggestion based on the employee feedback data. Further, the disclosed systems provide the modification within the manager feedback interface on the manager client device.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a fraud score for survey response data and updating a dataset of responses of a digital survey. In particular, in one or more embodiments, the disclosed systems utilize a fraud indicator identifying algorithm to determine fraud indicators and generate a fraud score for the survey response data. In addition, in one or more embodiments, the disclosed systems utilize a fraudulent response identifying machine-learning model to generate a fraud score. The disclosed systems then utilize the fraud score to generate a label for survey response data and update a dataset of responses to a digital survey based on the label. In one or more embodiments, based on the disclosed systems generating a fraudulent label for the survey response data, the disclosed systems remove survey response data from the dataset.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and customized follow-up survey inquiries in response to digital survey responses. In particular, in one or more embodiments, the disclosed systems receive prompts during survey creation defining goals and/or triggers for follow-up survey inquiries. Further, in some embodiments, the disclosed systems process survey responses utilizing a multimodal model to determine a survey response quality classification and any corresponding triggers in a survey response. Accordingly, the disclosed systems can generate a customized follow-up inquiry based on the survey question, the survey response, and the survey response quality classification.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating interaction contexts for interactions of user engagement events. In particular, in one or more embodiments, the disclosed systems receive engagement data corresponding to a user engagement event and utilize a large language model to generate interactions and interaction contexts from the engagement data. In addition, the disclosed systems can generate interactions and corresponding interaction contexts associated with a user profile for user engagement events across multiple engagement events. Moreover, the disclosed systems can utilize the interaction contexts to update a user profile of an experience management system or associate the interaction to an experience journey associated with the user profile.
One or more embodiments described herein include an experience management system that uses a centrally hosted agent architecture that leverages artificial intelligence models to accomplish inter-platform and cross-platform tasks to create personalized experiences throughout a user’s product or service journey. Indeed, the experience management system hosts and coordinates a multi-agent framework that receives user input or a user status, creates prompts from the user input or status to request other agents to perform tasks or subtasks related to providing a result and/or response to a user’s client device. In addition, the experience management system can access a knowledge graph containing user data to incorporate the user data during the coordination of responding to the user. Thus, when the knowledge graph is leveraged by the multi-agent framework, the experience management system can generate personalized and customized experiences for a user.
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.
The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for determining (and performing) system actions for particular users in response to real-time events based on the real-time event, an attribute of a user profile, and a journey state of the particular user on an experience journey. More specifically, in one or more embodiments, the disclosed systems respond in real-time utilizing both real-time data and batch data from a variety of disparate computing systems. To illustrate, in some embodiments, the disclosed systems detect a real-time event and identify an attribute of a user profile corresponding to the real-time event. In proximity to detecting the real-time event, the disclosed systems identify a journey state for the user profile along an experience journey. Based on the real-time event, the attribute of the user profile, and the journey state, the disclosed systems can dynamically determine system action.
The present disclosure is directed toward systems and methods generating a survey response based on an analysis of a communication provided by a user. The systems and methods may include receiving a data package sent in response to detecting a trigger event performed by a user, analyzing the data package to determine a user identification for the user, a user input, or an event type, and based on the analysis of the data package, identifying a first survey inquiry within a first electronic survey. Furthermore, the systems and methods may include formatting the first survey inquiry in an instant messenger format, providing, via an instant messenger platform, the formatted first survey inquiry to an instant messenger communication thread associated with the user, receiving an instant message response, and based on the instant message response, generating a survey response to the first survey inquiry.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
H04L 51/04 - Real-time or near real-time messaging, e.g. instant messaging [IM]
H04L 51/046 - Interoperability with other network applications or services
H04L 51/216 - Handling conversation history, e.g. grouping of messages in sessions or threads
H04W 4/02 - Services making use of location information
10.
UTILIZING A KNOWLEDGE GRAPH TO IMPLEMENT A DIGITAL SURVEY SYSTEM
This disclosure relates to methods, non-transitory computer readable media, and systems generate a knowledge graph to implement, process, and analyze digital surveys and digital survey data cross computer networks. In particular, the disclosed systems can generate and utilize a knowledge graph to determine and coordinate topic ontologies, store and access digital survey data, and generate digital benchmarks. For example, the disclosed systems generate a knowledge graph based on a predefined ontology of topics by connecting topic nodes via a plurality of edges. Additionally, the disclosed systems receive survey data associated with administering an electronic survey to respondent client devices. The disclosed systems extract topics from the survey data and determine connections between the survey data and the topic nodes in the knowledge graph. In one or more embodiments, the disclosed systems generate digital benchmarks between sets of data based on the relationships.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for using artificial intelligence to facilitate electronic communication between participants. For example, in one or more embodiments, the disclosed systems perform operations to generate and provide relevant notifications to a client device participating in a communication as the communication is ongoing. In particular, during the communication, the disclosed systems can utilize one or more artificial intelligence models to analyze a communication stream, generate a transcript, enrich the transcript with contextual information, and/or retrieve digital content for use in generating and providing notifications. The disclosed systems can provide the notifications to the participating client device during the communication to assist with the discussion.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for using artificial intelligence to facilitate electronic communication between participants. For example, in one or more embodiments, the disclosed systems use artificial intelligence models to generate and provide a communication summary describing the contents of a communication. To illustrate, the disclosed systems can generate a transcript for a communication and use various computer-implemented models, such as a large language model or a set of categorization models to generate a communication summary for the transcript. In some instances, the disclosed systems use a summary template with the categorization models to incorporate certain pre-configured types of information into the communication summary.
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.
This disclosure covers systems and methods that define a prompt for a large language model that references dynamic experience data content and based on a model output, determines at least one action to perform. In certain embodiments, by defining a prompt for a large language model and receiving an experience data instance from a respondent device, the disclosed system sends the experience data instance with the defined prompt to the large language model. Further, the disclosed system receives a model output from the large language model, where the first model output is generated based on the large language model analyzing the experience data instance according to the prompt.
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Conducting business and market research surveys, namely, product research and concept testing surveys; Conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; Business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; Statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and applications of survey data; Providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, employee performance and satisfaction and product development and testing; Providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee, management, employee development and employer-employee relationships
(2) Providing online non-downloadable articles and educational webinars in the field of statistics, popular culture, current events, historic events, online data collection, business, academic and market research, analysis, surveys, customer experience employee engagement, employee management, employee development and employer-employee relationships; Providing entertainment information online in the field of popular culture, current events, historic events; Providing information online in the field of academic research, namely, research in the field of education; Educational services, namely, conducting seminars, events in the nature of workshops, and classes about business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; Providing recognition by way of awards to promote excellence in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; Entertainment services, namely, providing on-line computer games and video games; Entertainment services, namely, providing temporary use of non-downloadable computer games; Education and entertainment services in the form of production of digital and motion picture films, and television programs and shows; Research in the field of education, namely, designing, conducting and analyzing academic research surveys; Providing information online about research in the field of education, namely, academic research statistics
(3) Providing temporary use of non-downloadable computer software accessed via the internet in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships for use in employee reviews and employee feedback; Providing software as a service (SAAS) services, accessed via the internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; Computer services, namely, hosting and maintaining and on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; Providing software as a services (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, consumer research and customer satisfaction surveys; Software as a service (SAAS) services featuring software for providing analysis for survey data and customer feedback; Providing information online in the field of product development; Computer website design, namely, design of education and entertainment blogs
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
Goods & Services
entertainment services, namely, providing on-line computer games and video games; entertainment services, namely, providing temporary use of non-downloadable computer games. providing information online in the field of product development; computer website design, namely, design of education and entertainment blogs.
Conducting business and market research surveys of products marketing concepts; conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes using survey data; providing business information online in the field of market research statistics, customer satisfaction and employe performance; providing business information online in the field of statistics, online data collection, market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of non-downloadable computer software for conducting research in the fields of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships for use in employee reviews and employee feedback; Software as a service (SAAS) services featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; Computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; Software as a service (SAAS) services featuring software for conducting academic research, market research, market development and market growth, consumer research and customer satisfaction surveys; Software as a service (SAAS) services featuring software for analyzing survey data and customer feedback; Providing information online in the field of product development; Computer website design, namely, design of education and entertainment blogs
41 - Education, entertainment, sporting and cultural services
Goods & Services
Providing online non-downloadable articles in the fields of statistics, popular culture, current events, historic events, online data collection, business, education and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; Education services, namely, providing non-downloadable educational webinars in the fields of statistics, historic events, online data collection, business, market research, analysis, surveys, customer experience, employee engagement, employee management, employee development, and employer-employee relationships; Providing entertainment information online in the fields of popular culture, current events, historic events; Providing information online in the field of educational research, namely, research in the field of education; Educational services, namely, conducting seminars, workshops, and classes in the fields of business, education, and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; Providing recognition by way of awards to promote excellence in the fields of business, educational and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; Entertainment services, namely, providing on-line computer games and video games; Entertainment services, namely, providing temporary use of non-downloadable computer games; Entertainment services, namely, production of digital and motion picture films, and television programs and shows; Research in the field of education, namely, designing, conducting and analyzing education research surveys; Providing information online about research in the field of education, namely, education research statistics
20.
Detecting and validating anomalies from ongoing data collection
The present disclosure relates to systems, non-transitory computer-readable media, and methods for detecting and validating anomalies from an ongoing data collection by applying an algorithm corresponding to a data pattern of the ongoing data collection. In particular, in one or more embodiments, the disclosed systems utilize a time series classification model to identify a data pattern corresponding to the ongoing data collection. Further, the disclosed systems can utilize an algorithm corresponding to the data pattern to monitor the ongoing data collection for anomaly candidates. Additionally, in one or more embodiments, the disclosed systems pass anomaly candidates through an anomaly validation filter to remove false positives.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for segmenting unstructured text into salient portions and identifying sentiments expressed in each segment. In particular, the disclosed systems utilize a segmentation machine learning model to segment unstructured text into salient portions and a sentiment identifying machine learning model to identify sentiments for each segment. Additionally, the disclosed systems determine a topic for each segment and associate it with an emotion label, a sentiment label or a predicted action label. In one or more embodiments, based on the topic associated with the emotional label, sentiment label or predicted action label, the disclosed systems determine and perform additional actions.
The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.
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.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating account prioritization scores for various accounts based on experience data and organization data and providing visual representations of the account prioritization scores via a graphical user interface. In particular, in one or more embodiments, the disclosed systems organize experience data and organization data to utilize in generating the account prioritization score. Further, in some embodiments, the disclosed systems generate and provide an explanation of a key factor for the account prioritization score. Thus, the disclosed systems provide an accurate and efficient graphical user interface to enable quick comprehension of even very large datasets corresponding to various accounts.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for determining (and performing) system actions for particular users in response to real-time events based on the real-time event, an attribute of a user profile, and a journey state of the particular user on an experience journey. More specifically, in one or more embodiments, the disclosed systems respond in real-time utilizing both real-time data and batch data from a variety of disparate computing systems. To illustrate, in some embodiments, the disclosed systems detect a real-time event and identify an attribute of a user profile corresponding to the real-time event. In proximity to detecting the real-time event, the disclosed systems identify a journey state for the user profile along an experience journey. Based on the real-time event, the attribute of the user profile, and the journey state, the disclosed systems can dynamically determine system action.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently generating an efficient new data set for storage in non-temporary storage during ingestion of other inefficient data sets. In particular, in one or more embodiments, the disclosed systems ingests a subset of a second data set of operational data items along with a first data set of response data items based on correlations between the subset of operational data items and the response data items. Thus, the disclosed systems provide a robust solution to efficiently ingesting data sets while avoiding computing storage and processing waste.
This disclosure relates to methods, non-transitory computer readable media, and systems generate a knowledge graph to implement, process, and analyze digital surveys and digital survey data cross computer networks. In particular, the disclosed systems can generate and utilize a knowledge graph to determine and coordinate topic ontologies, store and access digital survey data, and generate digital benchmarks. For example, the disclosed systems generate a knowledge graph based on a predefined ontology of topics by connecting topic nodes via a plurality of edges. Additionally, the disclosed systems receive survey data associated with administering an electronic survey to respondent client devices. The disclosed systems extract topics from the survey data and determine connections between the survey data and the topic nodes in the knowledge graph. In one or more embodiments, the disclosed systems generate digital benchmarks between sets of data based on the relationships.
This disclosure relates to methods, non-transitory computer readable media, and systems that relay domain-event objects within an enhanced multi-platform data stream to listen for and react to digital events indicated by the domain-event objects that occur across a wide variety of computing platforms. Specifically, the disclosed systems can receive domain-event objects within the multi-platform data stream. From among the domain-even objects transmitted through the multi-platform data stream, the disclosed systems can identify a domain-event object that is relevant to a digital-analytics platform by identifying domain-event objects that include properties satisfying domain-event-listener rules. Based on an entity identifier and an object event from the relevant domain-event object, the disclosed systems can perform a platform action within the digital-analytics platform (e.g., to react to a change in another platform as indicated by the domain-event object).
The present disclosure relates to systems, non-transitory computer-readable media, and methods that provide a graphical user interface for intuitively generating digital action sequences across one or more digital platforms. For example, the disclosed systems generate graphical user interfaces with tools to construct digital action sequences of platform actions performed based on event triggers. To facilitate building such digital action sequences, in some cases, the disclosed systems provide data for digital-action-sequence templates for easy selection of pre-matched event triggers and platform actions or tools to mix-and-match combinations of specific event triggers and platform actions. By providing such intuitive tools in a centralized graphical user interface, the disclosed systems can connect events across multiple platforms or across disconnected components of a single platform. Indeed, in certain implementations, the disclosed systems provide a low-code/no-code graphical user interface for selection of a multitude of different digital action sequences and in myriad different configurations.
The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a specially trained machine-learning model to generate an emerging user segment based on a target outcome for digital survey responses and respondent attributes of respondents to such digital surveys. In some cases, for instance, the emerging user segment includes a group of users that share the same or similar characteristics as the subset of respondents. By analyzing respondent attributes of digital survey respondents that match a target outcome, the disclosed systems can use the specially trained machine-learning model to dynamically predict users that likely have (or are at risk of having) the same or a similar target outcome—even if such users did not respond to the relevant digital survey.
G06Q 30/02 - MarketingPrice estimation or determinationFundraising
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
31.
DYNAMICALLY GENERATING PLATFORM RESOURCES BY GUIDING USER RESPONSES
The present disclosure relates to a response prediction system that intelligently optimizes the quality of responses to a survey by predicting response quality and generating suggested changes (e.g., improving question ordering, question phrasing, question type, etc.). For example, in one or more embodiments, the response prediction system predicts response quality based on extracted survey characteristics. The response prediction system uses the predicted response quality to generate suggested changes before publishing the survey. Additionally, the response prediction system collects feedback by analyzing responses after the survey has been published to update suggested changes specific to the survey.
This disclosure relates to methods, non-transitory computer readable media, and systems that relay domain-event objects within an enhanced multi-platform data stream to listen for and react to digital events indicated by the domain-event objects that occur across a wide variety of computing platforms. Specifically, the disclosed systems can receive domain-event objects within the multi-platform data stream. From among the domain-even objects transmitted through the multi-platform data stream, the disclosed systems can identify a domain-event object that is relevant to a digital-analytics platform by identifying domain-event objects that include properties satisfying domain-event-listener rules. Based on an entity identifier and an object event from the relevant domain-event object, the disclosed systems can perform a platform action within the digital-analytics platform (e.g., to react to a change in another platform as indicated by the domain-event object).
36 - Financial, insurance and real estate services
Goods & Services
Clothing; t-shirts; hats. Charitable fundraising; charitable fundraising services, namely, raising funds to benefit cancer and cancer research via an online computer network, social media campaign, employee giving programs, apparel sales, event ticket sales, and point-of-sale donations; Charitable fundraising services by means of sporting and entertainment events; Charitable fundraising services by means of a golf event.
36 - Financial, insurance and real estate services
Goods & Services
Charitable fundraising; charitable fundraising services, namely, raising funds to benefit cancer and cancer research via an online computer network, social media campaign, employee giving programs, apparel sales, event ticket sales, and point-of-sale donations; Charitable fundraising services by means of sporting and entertainment events; Charitable fundraising services by means of a golf event
36.
Digital survey creation by providing optimized suggested content
The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.
Embodiments of the present disclosure relate to administration of an electronic survey via third-party content. For example, an electronic survey system receives a request to provide an electronic survey within a survey placeholder of a third-party webpage provided to a client device associated with a respondent. The survey system determines characteristics of the webpage or the respondent. The survey system then selects an electronic survey by comparing the characteristics of available electronic surveys to the characteristics of the webpage or the respondent. Additionally, the survey system provides electronic questions from the selected electronic survey for display within the survey placeholder of the webpage. The survey system also administers the electronic survey within the survey placeholder without redirecting the respondent client device away from the third-party webpage.
G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
Embodiments of the present disclosure relate to customizing an electronic survey using social networking information. One or more embodiments of a survey system receive social networking information associated with a respondent from a third-party social networking system in connection with a request to provide a survey to a client device of the respondent. One or more embodiments of the survey system use the social networking information to determine a plurality of survey questions for the electronic survey. Additionally, one or more embodiments of the survey generate a customized electronic survey to include the plurality of survey questions and then provide the customized survey to the respondent's client device.
G06Q 30/0282 - Rating or review of business operators or products
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
Embodiments of the present disclosure relate generally to distributing a survey created for a first distribution channel across multiple distribution channels. More specifically, one or more embodiments of the present disclosure relate to providing a user with the ability to create a survey for one distribution channel and automatically provide the survey across multiple distribution channels. Further, one or more embodiments of the present disclosure improves survey administration by collecting responses to the survey from across the various distribution channels, compiling the responses, and providing the overall results of the survey to the user.
H04L 67/60 - Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
Embodiments of the present disclosure relate generally to organizing electronic text documents. In particular, one or more embodiments comprise a content management system that improves the organization of electronic text documents by intelligently and accurately categorizing electronic text documents by topic. The content management system organizes electronic text documents based on one or more topics, without the need for a human reviewer to manually classify each electronic text document, and without the need for training a classification algorithm based on a set of manually classified electronic text documents. Further, the content management system identifies and suggests topics for electronic text documents that relate to new or emerging topics.
The present disclosure is directed toward systems, methods, and computer-readable media for determining an impact of digital content by administering a digital survey. In particular, the systems described herein generate a survey administration packet for distribution together with digital content. The survey administration packet causes a respondent client device to perform various functions, including detecting a trigger event and replacing a presentation of digital content with a presentation of a digital survey question. The systems and methods also generate survey results indicating an impact of the digital content based on received digital survey responses.
This disclosure relates to methods, non-transitory computer readable media, and systems apply machine-learning techniques and computational sentiment analysis to summarize sentences extracted from a group of textual responses or to select representative-textual responses from the group of textual responses. By using a response-extraction-neural network to extract (and sometimes paraphrase) sentences from textual responses, the disclosed methods, non-transitory computer readable media, and systems can generate a response summary of textual responses based on sentiment indicators corresponding to the textual responses. By applying a machine-learning classifier to generate textual quality scores for textual responses, the disclosed methods, non-transitory computer readable media, and systems select representative-textual responses from a group of textual responses based on relevancy parameters and sentiment indicators corresponding to the textual responses. Such computational techniques generate response summaries and representative responses that provide an efficient snapshot of a group of textual responses analyzed by machine learners.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for efficiently providing a graphical user interface for visualizing large amounts of data on a single interface. In particular, in one or more embodiments, the disclosed systems utilize topic hierarchies and multidata display elements to intuitively present many types of data for many topics on a single interface. The system also uses an activatable timeline to visualize changes to large amounts of data over time.
The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a digital permission mapping model to dynamically map entity members to digital survey resource permission roles based on metadata corresponding to the entity members. In particular, in one or more embodiments, the disclosed systems implement permissions based on identification of various resource classes and attribute values corresponding to the digital resources. The disclosed systems can compare survey resource classes, survey attribute categories, and attribute values of requested digital survey resources to the resource permission role of a requesting entity member. The disclosed systems can manage the digital content based on the digital survey resource permission role and these determined comparisons.
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.
An multistep guided system for mobile devices that facilitates the creation and dissemination of multistep guided activities from a source computer/device to a plurality of other recipient mobile devices, wherein the multistep guided activities is disseminated to the recipient mobile devices in a form that is compatible with the capabilities of the respective recipient mobile devices. The audio guided system comprises the source computer/device, the plurality of other recipient mobile devices and a server.
G06F 16/957 - Browsing optimisation, e.g. caching or content distillation
G06Q 30/02 - MarketingPrice estimation or determinationFundraising
H04W 4/18 - Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals
47.
Digital experiences using touchpoint-based prompts
The present disclosure relates to a digital experience system that non-intrusively obtains valuable user feedback by strategically prompting users for feedback during a user's journey of a digital content experience. For example, in one or more embodiments, the digital experience system detects when various discrete touchpoints are triggered throughout a user's journey. In response to detection a triggered touchpoint, the digital experience system can provide the user with a prompt from a template of prompts. In this manner, the digital experience system can receive valuable and meaningful feedback from users without disrupting the user's digital content experience. Indeed, the digital experience system enhances the content experience for the user by providing prompts to the user throughout the user's journey of the content experience.
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/04883 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures for inputting data by handwriting, e.g. gesture or text
48.
Generating visual experience-journey timelines using experience and touchpoint data
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.
This disclosure covers systems and methods that administer a digital survey to respondents who interact with a biometric sensor to collect and convert biometric data into behavioral and physical characteristics of the respondents. In certain embodiments, by converting biometric data into respondent characteristics, the disclosed systems and methods identify various unwritten or nonverbal responses of survey respondents who respond to a digital survey or who interact with a display medium that captures survey data. To facilitate review of respondents' characteristics and responses, in some embodiments, the disclosed systems and methods further categorize the converted respondent characteristics within a response database for the digital survey.
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, employee performance and satisfaction and product development and testing; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships. Providing online non-downloadable articles and educational webinars in the field of statistics, popular culture, current events, historic events, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; providing entertainment information online in the field of popular culture, current events, historic events; providing information online in the field of academic research, namely, research in the field of education; educational services, namely, conducting seminars, events in the nature of workshops, and classes about business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; providing recognition by way of awards to promote excellence in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; entertainment services, namely, providing on-line computer games and video games; entertainment services, namely, providing temporary use of non-downloadable computer games; education and entertainment services in the form of production of digital and motion picture films, and television programs and shows; research in the field of education, namely, designing, conducting and analyzing academic research surveys; providing information online about research in the field of education, namely, academic research statistics. Providing temporary use of non-downloadable computer software accessed via the Internet in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships for use in employee reviews and employee feedback; providing software as a service (SAAS) services, accessed via the Internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; Providing software as a service (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, consumer research and customer satisfaction surveys; software as a service (SAAS) services featuring software for providing analysis for survey data and customer feedback; providing information online in the field of product development; Computer website design, namely, design of education and entertainment blogs.
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, employee performance and satisfaction and product development and testing; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships. Providing online non-downloadable articles and educational webinars in the field of statistics, popular culture, current events, historic events, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; providing entertainment information online in the field of popular culture, current events, historic events; providing information online in the field of academic research, namely, research in the field of education; educational services, namely, conducting seminars, events in the nature of workshops, and classes about business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; providing recognition by way of awards to promote excellence in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; entertainment services, namely, providing on-line computer games and video games; entertainment services, namely, providing temporary use of non-downloadable computer games; education and entertainment services in the form of production of digital and motion picture films, and television programs and shows; research in the field of education, namely, designing, conducting and analyzing academic research surveys; providing information online about research in the field of education, namely, academic research statistics. Providing temporary use of non-downloadable computer software accessed via the Internet in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships for use in employee reviews and employee feedback; providing software as a service (SAAS) services, accessed via the Internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; Providing software as a service (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, consumer research and customer satisfaction surveys; software as a service (SAAS) services featuring software for providing analysis for survey data and customer feedback; providing information online in the field of product development; Computer website design, namely, design of education and entertainment blogs.
52.
Generating and distributing digital surveys based on predicting survey responses to digital survey questions
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a predicted response to a digital survey question and identifying digital survey questions to remove from a digital survey. For example, the disclosed systems can reduce the number of digital survey questions distributed as part of a digital survey by identifying and removing similar digital survey questions. In addition, the disclosed systems can generate a predicted response to an unprovided digital survey question based on determining relationships between respondents. Further, based on respondent relationships, the disclosed systems can identify digital survey questions that a respondent is likely to answer and can provide the digital survey questions to a respondent device of the respondent.
This disclosure generally covers systems and methods that provide guidance to create an electronic survey. In some embodiments, the systems and methods identify and provide a suggested survey topic—with a corresponding option to create an electronic survey—based on user input. In some embodiments, the systems and methods identify and provide one or more suggested electronic survey questions based on user input. In such embodiments, the systems and methods provide, for example, components of suggested electronic survey questions, previously composed and benchmarking electronic survey questions, or suggested revisions to electronic survey questions. In addition, the systems and methods can provide entire premade electronic surveys based on receiving user input from a survey administrator.
G09B 7/00 - Electrically-operated teaching apparatus or devices working with questions and answers
G09B 7/02 - Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by the student
G09B 7/06 - Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of non-downloadable computer software accessed via the Internet in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships for use in employee reviews and employee feedback; providing software as a service (SAAS) services, accessed via the Internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; Providing software as a service (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, consumer research and customer satisfaction surveys; software as a service (SAAS) services featuring software for providing analysis for survey data and customer feedback; providing information online in the field of product development; Computer website design, namely, design of education and entertainment blogs
42 - Scientific, technological and industrial services, research and design
Goods & Services
Data automation and collection services to measure, prioritize, and optimize the customer, product, employee and brand responses, and to display relevant concurrences using statistically driven data sets; Software as a service (SAAS) in the fields of business research, academic research, healthcare research, market research, market development and market growth, consumer research and customer satisfaction surveys, product research, brand research and concept testing surveys, employee evaluations and feedback surveys, all to measure, prioritize, and optimize the customer, product, employee and brand responses, and to display relevant concurrences using statistically driven data sets; Software as a service (SAAS) for designing, conducting and analyzing surveys, survey data and consumer feedback; Software as a service (SAAS) for providing and creating analytics to assist in the management, tracking and application of survey and contact data; providing temporary use of non-downloadable computer software accessed via the Internet in the field of business, academic, healthcare and market research, analysis, surveys, customer research, demographics, employee engagement, employee management, employee development and employer-employee relationships, all to measure, prioritize, and optimize the customer, product, employee and brand responses, and to display relevant concurrences using statistically driven data sets; providing software as a service (SAAS), accessed via the Internet and offline featuring software for contact information, data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; Computer website design, namely, design of education and entertainment blogs; Providing information online in the fields of healthcare research statistics
41 - Education, entertainment, sporting and cultural services
Goods & Services
Educational services, namely, arranging and conducting seminars in the field of business featuring strategic planning for the educational, financial, government, healthcare, technology, retail, travel and entertainment sectors; Providing online non-downloadable articles and non-downloadable educational webinars in the field of statistics, popular culture, current events, historic events, online data collection, business, academic, healthcare and market research, analysis, surveys, customer research, demographics, product and brand development, employee engagement, employee management, employee development and employer-employee relationships; providing information online in the field of popular culture, current events, educational information in the academic field of study of historic events, educational information in the academic field of study of research methodology, educational information in the academic field of study of statistics; conducting seminars, events in the nature of workshops, and classes about business, academic, healthcare and market research, analysis, surveys, customer research, demographics, product and brand development, employee engagement, employee management, employee development and employer-employee relationships; providing recognition by way of awards to promote excellence in the field of business, academic, healthcare and market research, analysis, surveys, customer research, demographics, product and brand development, employee engagement, employee management, employee development and employer-employee relationships; entertainment services, namely, providing on-line computer games and online video games; providing temporary use of non-downloadable computer games; education and entertainment services in the form of production of digital and motion picture films, radio and television programs and television shows; providing information online about education research in the field of education conducted by educational institutions
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting consumer surveys for others for purposes of improving product feedback and brand recognition, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, and satisfaction and product development and testing and brand recognition; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, brand recognition and customer experience; Conducting business survey services, namely, analyzing market segmentation, emerging trends, product to market development and pricing data, competitive benchmarking, purchase behavior, product design, concept testing, brand recognition and market trends
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, employee performance and satisfaction and product development and testing; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting consumer surveys for others for purposes of improving product feedback, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, and satisfaction and product development and testing; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, and customer experience; Conducting business survey services, namely, analyzing market segmentation, product development and pricing data, competitive benchmarking, purchase behavior, product design, concept testing and market trends
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing online non-downloadable software applications and websites featuring temporary use of non-downloadable software for business, academic and market research, analysis, surveys, customer experience, analyzing market segmentation, product development and pricing data, competitive benchmarking, purchase behavior, brand recognition and market trends; providing software as a service (SAAS) services, accessed via the Internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys and business research and analyzing resulting data; Providing software as a service (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, brand recognition, consumer research and customer satisfaction surveys; software as a service (SAAS) services featuring software for providing analysis for survey data and customer feedback, market segmentation, product development and pricing data, competitive benchmarking, purchase behavior, concept testing, brand recognition and market trends
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, employee performance and satisfaction and product development and testing; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; providing business consulting services in the field of consumer experience feedback, employee experience feedback, and market feedback; providing business services by using business surveys to evaluate customer and employee satisfaction, brand recognition, market feedback and product evaluations online in the field of brand marketing and brand recognition
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, employee performance and satisfaction and product development and testing; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships
Business directory services, namely, collecting and tracking survey data; customer and employee feedback data, academic and market research, customer experience information, employee engagement information, employee management information, employee development and employer-employee relationships information, and employee feedback, to provide summarized information
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing online non-downloadable software applications and websites featuring temporary use of non-downloadable software for business, academic and market research, analysis, surveys, customer experience, analyzing market segmentation, product development and pricing data, competitive benchmarking, purchase behavior, brand recognition and market trends; providing software as a service (SAAS) services, accessed via the Internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys and business research and analyzing resulting data; Providing software as a service (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, brand recognition, consumer research and customer satisfaction surveys; software as a service (SAAS) services featuring software for providing analysis for survey data and customer feedback, market segmentation, product development and pricing data, competitive benchmarking, purchase behavior, concept testing, brand recognition and market trends
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of non-downloadable computer software accessed via the Internet in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships for use in employee reviews and employee feedback; providing software as a service (SAAS) services, accessed via the Internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting, employee surveys and business research and analyzing resulting data; Providing software as a service (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, workplace culture, employee concerns, employee workplace satisfaction research and employee satisfaction surveys; software as a service (SAAS) services featuring software for providing analysis for survey data and employee feedback
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, employee performance and satisfaction and product development and testing; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of non-downloadable computer software accessed via the Internet in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships for use in employee reviews and employee feedback; providing software as a service (SAAS) services, accessed via the Internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; Providing software as a service (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, consumer research and customer satisfaction surveys; software as a service (SAAS) services featuring software for providing analysis for survey data and customer feedback; providing information online in the field of product development; Computer website design, namely, design of education and entertainment blogs
68.
Distributing electronic surveys via third-party content
Embodiments of the present disclosure relate to administration of an electronic survey via third-party content. For example, an electronic survey system receives a request to provide an electronic survey within a survey placeholder of a third-party webpage provided to a client device associated with a respondent. The survey system determines characteristics of the webpage or the respondent. The survey system then selects an electronic survey by comparing the characteristics of available electronic surveys to the characteristics of the webpage or the respondent. Additionally, the survey system provides electronic questions from the selected electronic survey for display within the survey placeholder of the webpage. The survey system also administers the electronic survey within the survey placeholder without redirecting the respondent client device away from the third-party webpage.
G06Q 30/02 - MarketingPrice estimation or determinationFundraising
G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, employee performance and satisfaction and product development and testing; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships
41 - Education, entertainment, sporting and cultural services
Goods & Services
Providing online non-downloadable articles and educational webinars in the field of statistics, popular culture, current events, historic events, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; providing entertainment information online in the field of popular culture, current events, historic events; providing information online in the field of academic research, namely, research in the field of education; educational services, namely, conducting seminars, events in the nature of workshops, and classes about business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; providing recognition by way of awards to promote excellence in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; entertainment services, namely, providing on-line computer games and video games; entertainment services, namely, providing temporary use of non-downloadable computer games; education and entertainment services in the form of production of digital and motion picture films, and television programs and shows; research in the field of education, namely, designing, conducting and analyzing academic research surveys; providing information online about research in the field of education, namely, academic research statistics
41 - Education, entertainment, sporting and cultural services
Goods & Services
Providing online non-downloadable articles and educational webinars in the field of statistics, popular culture, current events, historic events, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; providing entertainment information online in the field of popular culture, current events, historic events; providing information online in the field of academic research, namely, research in the field of education; educational services, namely, conducting seminars, events in the nature of workshops, and classes about business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; providing recognition by way of awards to promote excellence in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships; entertainment services, namely, providing on-line computer games and video games; entertainment services, namely, providing temporary use of non-downloadable computer games; education and entertainment services in the form of production of digital and motion picture films, and television programs and shows; research in the field of education, namely, designing, conducting and analyzing academic research surveys; providing information online about research in the field of education, namely, academic research statistics
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of non-downloadable computer software accessed via the Internet in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships for use in employee reviews and employee feedback; providing software as a service (SAAS) services, accessed via the Internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; Providing software as a service (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, consumer research and customer satisfaction surveys; software as a service (SAAS) services featuring software for providing analysis for survey data and customer feedback; providing information online in the field of product development; Computer website design, namely, design of education and entertainment blogs
Conducting business and market research surveys, namely, product research and concept testing surveys; conducting employee surveys for others for purposes of improving employee performance and morale, namely, employee evaluations and feedback surveys; business research, namely, designing, conducting and analyzing market surveys, business research surveys and customer surveys; statistical analysis and reporting services for business purposes, namely, providing and creating analytics to assist in the management, tracking and application of survey data; providing business information online in the field of market research statistics, academic research statistics, customer satisfaction, employee performance and satisfaction and product development and testing; providing business information online in the field of statistics, online data collection, business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of non-downloadable computer software accessed via the Internet in the field of business, academic and market research, analysis, surveys, customer experience, employee engagement, employee management, employee development and employer-employee relationships for use in employee reviews and employee feedback; providing software as a service (SAAS) services, accessed via the Internet and offline featuring software for data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; Providing software as a service (SAAS) services featuring software for use in conducting academic research, market research, market development and market growth, consumer research and customer satisfaction surveys; software as a service (SAAS) services featuring software for providing analysis for survey data and customer feedback; providing information online in the field of product development; Computer website design, namely, design of education and entertainment blogs
75.
PREDICTING DIGITAL SURVEY RESPONSE QUALITY AND GENERATING SUGGESTIONS TO DIGITAL SURVEYS
The present disclosure relates to a response prediction system that intelligently optimizes the quality of responses to a survey by predicting response quality and generating suggested changes (e.g., improving question ordering, question phrasing, question type, etc.). For example, in one or more embodiments, the response prediction system predicts response quality based on extracted survey characteristics. The response prediction system uses the predicted response quality to generate suggested changes before publishing the survey. Additionally, the response prediction system collects feedback by analyzing responses after the survey has been published to update suggested changes specific to the survey.
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a predicted response to a digital survey question and identifying digital survey questions to remove from a digital survey. For example, the disclosed systems can reduce the number of digital survey questions distributed as part of a digital survey by identifying and removing similar digital survey questions. In addition, the disclosed systems can generate a predicted response to an unprovided digital survey question based on determining relationships between respondents. Further, based on respondent relationships, the disclosed systems can identify digital survey questions that a respondent is likely to answer and can provide the digital survey questions to a respondent device of the respondent.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable webinars in the field of business, academic, healthcare and market research, analysis, surveys, customer research, demographics, product and brand development, employee engagement, employee management, employee development and employer-employee relationships; video recordings featuring business, academic, healthcare and market research, analysis, surveys, customer research, demographics, product and brand development, employee engagement, employee management, employee development and employer-employee relationships; downloadable documents and content in the nature of downloadable written articles about business, academic, healthcare and market research, analysis, surveys, customer research, demographics, employee engagement, employee management, employee development and employer-employee relationships; computer game software for use with personal computers and mobile devices; downloadable computer game software. Advising and consulting in connection with the design, customization and analysis of business concept testing surveys, employee evaluations, business engagement and feedback surveys, market surveys, business research surveys, academic business research surveys and customer surveys; providing and creating business analytics to assist in the management, tracking and application of survey data; providing information online in the fields of market research statistics, customer satisfaction, employee engagement, brand development, brand evaluation, statistics for business or commercial purposes, online data collection for business research and surveys, market research, business management, business data analysis, customer research, demographics, brand development, employee engagement, employee management, employee development (being support for employees with regard to business matters, and being determination through work analysis of employee skill sets and other employee requirements), and employer-employee relationships. Providing online non-downloadable articles and non-downloadable educational webinars in the field of statistics, popular culture, current events, historic events, online data collection, business, academic, healthcare and market research, analysis, surveys, customer research, demographics, product and brand development, employee engagement, employee management, employee development and employer-employee relationships; providing information online in the field of popular culture, current events, historic events, academic research study, academic research statistics; conducting seminars, events in the nature of workshops, and classes about business, academic, healthcare and market research, analysis, surveys, customer research, demographics, product and brand development, employee engagement, employee management, employee development and employer-employee relationships; providing recognition by way of awards to promote excellence in the field of business, academic, healthcare and market research, analysis, surveys, customer research, demographics, product and brand development, employee engagement, employee management, employee development and employer-employee relationships; entertainment services, namely, providing on-line computer games and online video games; providing temporary use of non-downloadable computer games; education and entertainment services in the form of production of digital and motion picture films, radio and television programs and television shows; providing information online about research conducted by educational institutions. Providing software as a service (SAAS) to measure, prioritize, and optimize the customer, product, employee and brand responses, and to display relevant concurrences using statistically driven data sets; Software as a service (SAAS) in the fields of business research, academic research, healthcare research, market research, market development and market growth, consumer research and customer satisfaction surveys, product research, brand research and concept testing surveys, employee evaluations and feedback surveys, all to measure, prioritize, and optimize the customer, product, employee and brand responses, and to display relevant concurrences using statistically driven data sets; Software as a service (SAAS) for designing, conducting and analyzing surveys, survey data and consumer feedback; Software as a service (SAAS) for providing and creating analytics to assist in the management, tracking and application of survey and contact data; providing temporary use of non-downloadable computer software accessed via the Internet in the field of business, academic, healthcare and market research, analysis, surveys, customer research, demographics, product and brand development, employee engagement, employee management, employee development and employer-employee relationships, all to measure, prioritize, and optimize the customer, product, employee and brand responses, and to display relevant concurrences using statistically driven data sets; providing software as a service (SAAS), accessed via the Internet and offline featuring software for contact information, data feedback, data evaluation, and research surveys, data collection, data integration, data management, data analysis, follow-up to survey responses and generating reports for use in consulting with respect thereto; computer services, namely, hosting and maintaining an on-line web site and web facilities for others for conducting consumer surveys, employee surveys and business research and analyzing resulting data; providing information online in the field of product development and product testing; Computer website design, namely, design of education and entertainment blogs; Advising and consulting in connection with the design, customization and analysis of product research; Providing information online in the fields of healthcare research statistics.
This disclosure covers methods, systems, and computer-readable media that select answer choices from potential answer choices for a digital question based on responses to other digital questions and/or embedded user data. In certain embodiments, the disclosed systems select answer choices from potential answer choices for a digital question based on a multiple choice response. Furthermore, in some embodiments, the disclosed systems select answer choices from potential answer choices for a digital question based on keywords and/or sentiment values identified by analyzing a text response. In some embodiments, the disclosed systems select answer choices for a digital question from a dynamic choice reference dataset that comprises potential answer choices. Additionally, in one or more embodiments, the disclosed systems train and/or utilize a machine-learning model to select answer choices from potential answer choices for a digital question based on a response.
The present disclosure relates to a response analysis system that employs a small-data training dataset to train a neural network that accurately performs domain-agnostic opinion mining. For example, in one or more embodiments, the response analysis system trains a response classification neural network using part of speech information (e.g., syntactic information) to learn and apply response classification labels for opinion text responses. In particular, the response analysis system employs part of speech information patterns without regard to word patterns to determine whether words in a text response correspond to an opinion, the target of the opinion, or neither. In addition, the trained response classification neural network has a significantly reduced learned parameter space, which decreases processing, memory requirements, and overall complexity.
This disclosure covers methods, systems, and computer-readable media that identify a topic variance from digital survey responses and provide a variety of functionalities to a digital survey system based on the topic variance (i.e., by modifying a digital survey reporting structure based on the topic variance). In certain embodiments, the disclosed systems analyze one or more sets of digital survey responses to generate one or more response models. Furthermore, the disclosed systems can analyze the one or more response models to identify a topic variance (e.g., an emerging topic, a change in trend for a topic, and/or a change in sentiment for a topic). Upon identifying a topic variance, the disclosed systems modify a digital survey reporting structure and/or generate notifications based on the identified topic variance.
This disclosure generally covers systems and methods that provide guidance to create an electronic survey. In some embodiments, the systems and methods identify and provide a suggested survey topic—with a corresponding option to create an electronic survey—based on user input. In some embodiments, the systems and methods identify and provide one or more suggested electronic survey questions based on user input. In such embodiments, the systems and methods provide, for example, components of suggested electronic survey questions, previously composed and benchmarking electronic survey questions, or suggested revisions to electronic survey questions. In addition, the systems and methods can provide entire premade electronic surveys based on receiving user input from a survey administrator.
G09B 7/00 - Electrically-operated teaching apparatus or devices working with questions and answers
G09B 7/06 - Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers
G09B 7/02 - Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by the student
This disclosure relates to methods, non-transitory computer readable media, and systems apply machine-learning techniques and computational sentiment analysis to summarize sentences extracted from a group of textual responses or to select representative-textual responses from the group of textual responses. By using a response-extraction-neural network to extract (and sometimes paraphrase) sentences from textual responses, the disclosed methods, non-transitory computer readable media, and systems can generate a response summary of textual responses based on sentiment indicators corresponding to the textual responses. By applying a machine-learning classifier to generate textual quality scores for textual responses, the disclosed methods, non-transitory computer readable media, and systems select representative-textual responses from a group of textual responses based on relevancy parameters and sentiment indicators corresponding to the textual responses. Such computational techniques generate response summaries and representative responses that provide an efficient snapshot of a group of textual responses analyzed by machine learners.
An multistep guided system for mobile devices that facilitates the creation and dissemination of multistep guided activities from a source computer/device to a plurality of other recipient mobile devices, wherein the multistep guided activities is disseminated to the recipient mobile devices in a form that is compatible with the capabilities of the respective recipient mobile devices. The audio guided system comprises the source computer/device, the plurality of other recipient mobile devices and a server.
H04W 4/18 - Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals
84.
Maintaining anonymity of survey respondents while providing useful survey data
The present disclosure relates to systems, non-transitory computer-readable media, and methods for maintaining the anonymity of survey respondents while providing useful data to an analyst. In particular, in one or more embodiments, the disclosed systems utilize various anonymity protections based on various anonymity thresholds. For example, the presently disclosed systems and methods may disallow or modify potentially identifying data filters, including generating alternate data groupings. Further, the systems and methods may modify text responses to reduce identification risk.
The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.
Embodiments of the present disclosure relate generally to distributing a survey created for a first distribution channel across multiple distribution channels. More specifically, one or more embodiments of the present disclosure relate to providing a user with the ability to create a survey for one distribution channel and automatically provide the survey across multiple distribution channels. Further, one or more embodiments of the present disclosure improves survey administration by collecting responses to the survey from across the various distribution channels, compiling the responses, and providing the overall results of the survey to the user.
H04L 67/60 - Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
87.
Digital experiences using touchpoint-based prompts
The present disclosure relates to a digital experience system that non-intrusively obtains valuable user feedback by strategically prompting users for feedback during a user's journey of a digital content experience. For example, in one or more embodiments, the digital experience system detects when various discrete touchpoints are triggered throughout a user's journey. In response to detection a triggered touchpoint, the digital experience system can provide the user with a prompt from a template of prompts. In this manner, the digital experience system can receive valuable and meaningful feedback from users without disrupting the user's digital content experience. Indeed, the digital experience system enhances the content experience for the user by providing prompts to the user throughout the user's journey of the content experience.
G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
88.
Authenticating a respondent to an electronic survey
This disclosure generally covers systems and methods that, in some embodiments, provide an electronic survey template for creating a user customizable electronic survey including authentication features. Those authentication features include, in some embodiments, authenticating questions with elements that capture a digitally drawn signature, digital image, fingerprint, or voiceprint. Certain embodiments of the disclosed systems and methods provide a graphical user interface comprising an electronic survey template with a menu of survey question types, including an option to create authenticating questions within the electronic survey template. Some embodiments of the disclosed systems and methods also provide functions and features that allow users to preview a customized electronic survey template as an interactive electronic survey or to preview individual electronic survey questions as interactive electronic survey questions.
This disclosure relates to methods, non-transitory computer readable media, and systems that use machine-learning techniques to facilitate the creation, timing of distribution, or follow-up actions for digital surveys. In one such implementation, the disclosed methods, non-transitory computer readable media, and systems use a survey-creation-machine learner to generate suggested survey questions for an administrator designing a digital survey. Additionally, in some implementations, the disclosed methods, non-transitory computer readable media, and systems use specialized machine learners to suggest timeframes in which to send digital surveys or to suggest action items to follow up on responses to the survey questions.
Embodiments of the present disclosure relate to collecting and analyzing electronic survey responses that include user-composed text. In particular, systems and methods disclosed herein facilitate collection of electronic survey responses in response to electronic survey questions. The systems and methods disclosed herein classify the electronic survey questions and determine a semantics model including customized operators for analyzing the electronic survey responses to the corresponding electronic survey questions. In addition, the systems and methods disclosed herein provide a presentation of the results of the analysis of the electronic survey responses via a graphical user interface of a client device.
Embodiments of the present disclosure relate to facilitating efficient access to electronic content via an intermediate caching layer between a client device and remote storage system. In particular, systems and methods disclosed herein generate and maintain a regional cache on a data center that includes a subset of digital content items from a collection of digital content items stored on the remote storage system. For example, in response to receiving a data request, the systems and methods disclosed herein determine whether a digital content item corresponding to the data request exists on an intermediate caching layer including both a local data center and one or more remote data centers. The systems and methods facilitate obtaining copies of requested digital content items from the regional caches when available, resulting in faster responses to data requests while decreasing a number of times a client directly accesses the remote storage system.
Embodiments of the present disclosure relate to presenting and synchronizing views of electronic document. In particular, a view management system can synchronize and present multiple synchronized views of an electronic document for display on a client device. For example, the view management system can present multiple views of an electronic document and bind one or more of the views with a model. In response to detecting a user interaction with respect to a view, the view management system can cause a client device to apply the user interaction to each of multiple views (e.g., each view that is bound to the model). By synchronizing views, the view management system can enable a user to conveniently observe how one or more user interactions with respect to a view would appear across multiple views of an electronic document.
The present disclosure relates to a response analysis system that employs a small-data training dataset to train a neural network that accurately performs domain-agnostic opinion mining. For example, in one or more embodiments, the response analysis system trains a response classification neural network using part of speech information (e.g., syntactic information) to learn and apply response classification labels for opinion text responses. In particular, the response analysis system employs part of speech information patterns without regard to word patterns to determine whether words in a text response correspond to an opinion, the target of the opinion, or neither. In addition, the trained response classification neural network has a significantly reduced learned parameter space, which decreases processing, memory requirements, and overall complexity.
The present disclosure is directed toward systems and methods for dynamically generating a single survey representation document that includes the disparate components of an electronic survey maintained across one or more repositories by an electronic survey system. Furthermore, the systems and methods described herein provide the survey representation document for collaboration to one or more author computing devices, and synchronize any edits made to the survey representation document with the original electronic survey.
The present disclosure relates to a digital experience system that non-intrusively obtains valuable user feedback by strategically prompting users for feedback during a user's journey of a digital content experience. For example, in one or more embodiments, the digital experience system detects when various discrete touchpoints are triggered throughout a user's journey. In response to detecting a triggered touchpoint, the digital experience system can provide the user with a prompt from a template of prompts.
G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
96.
Generating customized surveys using third-party social networking information
Embodiments of the present disclosure relate to customizing an electronic survey using social networking information. One or more embodiments of a survey system receive social networking information associated with a respondent from a third-party social networking system in connection with a request to provide a survey to a client device of the respondent. One or more embodiments of the survey system use the social networking information to determine a plurality of survey questions for the electronic survey. Additionally, one or more embodiments of the survey generate a customized electronic survey to include the plurality of survey questions and then provide the customized survey to the respondent's client device.
G06Q 30/02 - MarketingPrice estimation or determinationFundraising
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
Embodiments of the present disclosure relate generally to organizing electronic text documents. In particular, one or more embodiments comprise a content management system that improves the organization of electronic text documents by intelligently and accurately categorizing electronic text documents by topic. The content management system organizes electronic text documents based on one or more topics, without the need for a human reviewer to manually classify each electronic text document, and without the need for training a classification algorithm based on a set of manually classified electronic text documents. Further, the content management system identifies and suggests topics for electronic text documents that relate to new or emerging topics.
Embodiments of the present disclosure relate to providing electronic survey content to a user in accordance with a particular layout. In particular, a survey system facilitates providing survey questions of an electronic survey to a user within a display area of a client device in accordance with a determined layout based on one or more features of the display area. For example, the survey system associates a plurality of layouts with one or more survey questions. Further, the survey system provides the survey questions and associated layout to a client device for presentation to a user. The client device identifies one or more features of a display area and determines a layout from the plurality of layouts to use in providing the survey question(s) to the user. Further, the client device provides one or more survey questions to a user within the display area in accordance with a determined layout.
The present disclosure is directed toward systems, methods, and computer-readable media for determining an impact of digital content by administering a digital survey. In particular, the systems described herein generate a survey administration packet for distribution together with digital content. The survey administration packet causes a respondent client device to perform various functions, including detecting a trigger event and replacing a presentation of digital content with a presentation of a digital survey question. The systems and methods also generate survey results indicating an impact of the digital content based on received digital survey responses.
The present disclosure relates to a response analysis system that employs a small-data training dataset to train a neural network that accurately performs domain-agnostic opinion mining. For example, in one or more embodiments, the response analysis system trains a response classification neural network using part of speech information (e.g., syntactic information) to learn and apply response classification labels for opinion text responses. In particular, the response analysis system employs part of speech information patterns without regard to word patterns to determine whether words in a text response correspond to an opinion, the target of the opinion, or neither. In addition, the trained response classification neural network has a significantly reduced learned parameter space, which decreases processing, memory requirements, and overall complexity.
