US2016328758A1PendingUtilityA1

Context-Based Feedback System and Method

Assignee: YORN LLCPriority: Jan 14, 2014Filed: Jan 14, 2015Published: Nov 10, 2016
Est. expiryJan 14, 2034(~7.5 yrs left)· nominal 20-yr term from priority
G06Q 50/10G06Q 30/0282G16H 10/60G06Q 30/02
52
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Claims

Abstract

A computer-implemented interactive system, methods, and platform are herein disclosed to allow for the aggregation of context based feedback data according to a selected feedback context model. In an illustrative implementation, the computer-implemented interactive system/platform comprises an exemplary server computer environment, an instruction set comprising one or more instructions to request from the one or more other computing environments feedback data (e.g., such requests being made on a temporal basis according to one or more feedback context models), and a data store. The platform may be used to aggregate feedback data for various feedback sponsors/requestors, by way of example, as a user/customer is experiencing a product/service, in real time. The frequency, timing, and trigger for feedback data requests from users, illustratively, can be tailored by the one or more instructions of the one or more feedback context models that take into account a baseline use/experience of given product/service.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A context-based feedback system comprising:
 a computing processor; and   a computing memory communicatively coupled with the computing processor, the computing memory having stored therein instructions that, if executed by the computing processor, cause the computing processor to perform steps of:
 retrieving data representative of a context model comprising at least one criterion that triggers at least one request for input of feedback data; 
 transmitting the at least one request to a client computer, 
 receiving feedback data from the client computer in response to the at least one request; 
 processing the feedback data; and 
 providing the processed feedback data to a dashboard accessed by an authorized requesting user. 
   
     
     
         2 . The system of  claim 1 , wherein the context model comprises one or more guidelines for triggering an input of feedback data from a user. 
     
     
         3 . The system of  claim 1 , wherein the instructions, if executed by the computing processor, cause the computing processor to perform a further step of:
 prior to the operation of retrieving, transmitting a link to the client computer, wherein the link is configured to cause the client computer to send a request to the computing processor to perform the operation of retrieving.   
     
     
         4 . The system of  claim 3 , wherein the step of transmitting the link to the client computer is performed in response to a request by the client computer. 
     
     
         5 . The system of  claim 3 , wherein the step of processing comprises:
 removing personal information from the at least one request to provide anonymous data; and   applying one or more algorithms to the anonymous data.   
     
     
         6 . The system of  claim 5 , wherein the one or more algorithms comprise one or more of feature recognition, feature detection, clustering, subset selection, and semantic analysis. 
     
     
         7 . The system of  claim 1 , wherein the feedback data comprises feedback from the user regarding a service/product that the consumer has purchased or used. 
     
     
         8 . The system of  claim 1 , wherein the feedback data comprises feedback from the user regarding a service that the consumer has received. 
     
     
         9 . The system of  claim 1 , wherein the step of processing comprises implementing at least one workflow in response to the feedback data. 
     
     
         10 . A context-based feedback method comprising steps of:
 retrieving, from a data store, data representative of a context model comprising at least one criterion that triggers at least one request for input of feedback data;   transmitting the at least one request to a client computer over a computer network;   receiving feedback data from the client computer in response to the at least one request;   processing the feedback data; and   providing the processed feedback data to a dashboard accessed by an authorized requesting user.   
     
     
         11 . The method of  claim 10 , wherein the context model comprises one or more guidelines for triggering an input of feedback data from a user. 
     
     
         12 . The system of  claim 10 , further comprising a step of:
 prior to the operation of retrieving, transmitting a link to the client computer, wherein the link is configured to cause the client computer to send a request to the computing processor to perform the operation of retrieving.   
     
     
         13 . The method of  claim 12 , wherein the step of transmitting the link to the client computer is performed in response to a request by the client computer. 
     
     
         14 . The method of  claim 12 , wherein the step of processing comprises:
 removing personal information from the at least one request to provide anonymous data; and   applying one or more algorithms to the anonymous data.   
     
     
         15 . The method of  claim 14 , wherein the one or more algorithms comprise one or more of feature recognition, feature detection, clustering, subset selection, and semantic analysis. 
     
     
         16 . The method of  claim 10 , wherein the feedback data comprises feedback from the user regarding a service/product that the consumer has purchased or used. 
     
     
         17 . The method of  claim 10 , wherein the feedback data comprises feedback from the user regarding a service that the consumer has received. 
     
     
         18 . The method of  claim 10 , wherein the step of processing comprises implementing at least one workflow in response.

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