Abstract: The methods, apparatuses, and systems described herein are designed to analyze comments provided by a coach relating to an agent's interaction with a customer. The methods include receiving a coaching comment regarding an agent's interaction with a customer, applying at least one scoring algorithm to the comment, and outputting a score of the scoring algorithm.

Abstract: A personality-type training gamification system that includes a communications link configured to receive one or more communications, an analysis processor in bi-directional communication with the communications link with a plurality of non-transitory computer readable instructions stored in association therewith that are accessible to, and executable by, the processor, wherein the plurality of instructions, when executed receive the one or more communications from the communications link, analyze the one or more communications to identify personality types associated with the one or more communications, provide an overview of each identified personality type to a user; and provide one or more games or quizzes to the user and instructions to take the one or more games or quizzes to test the user's knowledge of the plurality of personality types provided; and a display device configured to display to the user at least a performance analysis for the user.

Abstract: Methods, apparatus, and systems for analyzing data trends are described herein. The present disclosure includes the identification of trending terms in data through the use of an unsupervised algorithm. Trending terms are identified and counted during a first and second time period without reference to a library of pre-defined terms, along with at least one reason for using such trending terms. The set of trending terms and the at least one reason for use of the trending terms are displayed to a user.

Abstract: The methods, apparatus, and systems described herein assist a user with a request. The methods in part receive input from a user that includes a voice input, a gesture input, a text input, biometric information, or a combination thereof; retrieve or determine a personality type of the user based on the input; determine a distress level or an engagement level of the user; determine a set of outputs responsive to the received input; rank the outputs in the set based on the retrieved or determined personality type and the determined distress level or engagement level; deliver a ranked output to the input in a modality based on the retrieved or determined personality type and a type of device configured to deliver the ranked output to the user, wherein the device comprises a navigation system, a car, a robot, or a combination thereof; and weigh the ranked output for future interactions.

Abstract: The invention relates to a method and system for analyzing an electronic communication, more particularly, to analyzing telephonic communications between customers and a contact center to determine and display the most relevant communications to an organization or business.

Abstract: Devices, systems, and methods to receive and analyze biometric measurements from a customer service agent are provided. The analysis of the biometric measurements may be used to identify correlations between the biometric measurements, agent health, and agent performance. These correlations may then be used to route communications to the agent and/or modify the performance and/or increase the heath of the agent. The biometric measurements may also be correlated to an empathy level of the agent.

Abstract: The invention relates to a method and system for analyzing an electronic communication, more particularly, to analyzing telephonic communications between customers and a contact center to determine and display the most relevant communications to an organization or business.

Abstract: The methods, apparatus, and systems described herein are designed to reduce false positive voice print matching with fraudulent callers. A voice print of a call is created and compared to known voice prints to determine if it matches one or more of the known voice prints, and to transaction data associated with a database of voice prints. The methods include a pre-processing step to separate speech from non-speech, selecting a number of elements that affect the voice print the most, and/or generating a first score based on the number of selected audio elements matching audio elements of a voice print from the plurality of fraudulent speakers, determining if the first score exceeds a predetermined threshold score for the fraudulent speaker, and comparing the selected audio elements for the unknown caller, where the score exceeds the predetermined threshold score, to the voice prints associated with the customer account.

Abstract: Devices, systems, and methods are provided that receive communications from a contact and conduct linguistic analysis of the communications. A user is taught to facilitate communication with the contact, based on the linguistic analysis, which may include providing recommendations based on personality types. A gamification system may be provided to teach the user about personality types.

Abstract: A method for customer-based outcome prediction that includes receiving recordings of interactions with customers in a customer group, analyzing the recordings of the interactions to generate interaction data, and building a predictive model using the interaction data, the predictive model identifying a variable relevant to predicting a likelihood of an identified outcome occurring in association with future interactions with customers in the customer group. The method also includes receiving a recording of a current interaction with a first customer, the first customer being in the customer group and analyzing the recording of the current interaction with the first customer to generate current interaction data. Further, the method includes adding the current interaction data to a first customer profile associated with the first customer and applying the predictive model to the first customer profile to predict the likelihood of the identified outcome occurring in association with the current interaction.

Abstract: The methods, apparatus, non-transitory computer readable media, and systems described herein include recording a mono recording of a software and a customer inquiry communication using a microphone to interpret and respond to the customer inquiry communication, wherein the mono recording is unseparated and includes customer voice data and audio data generated by the software agent, separately and concurrently recording the software agent audio data in an agent recording, and subtracting agent audio data from the unseparated mono recording to provide a separated recording including only customer voice data.

Abstract: The methods, apparatus, and systems described herein evaluate written essays and determine student attributes from the essays. The methods include receiving an essay, identifying keywords in text of the essay associated with one or more student metrics, outputting a score for the essay for at least one student metric using a linguistic-based psychological behavioral model, and recommending teaching methods based on the score.

Abstract: The methods, apparatus, and systems described herein facilitate decision-making by providing predictions of outcomes and behaviors. The methods include receiving a communication between an agent and a prospect, analyzing density of keywords in a text version of the communication to determine the type of communication and amount of value time, determining if the communication is a first meaningful contact based on the type of communication and amount of value time, and predicting a likelihood of a prospect's action based on the determination.

Abstract: Methods and systems to predict user behavior based on analysis of a video communication by one or more processors, which methods include receiving a user video communication, extracting video analysis data optionally including facial analysis data for the user from the video communication, extracting, by the one or more processors, voice analysis data from the user video communication, generating an outcome prediction score based on the video analysis data and voice analysis data that predicts a likelihood that a user will take an action leading to an outcome.

Abstract: The methods, apparatus, and systems described herein relate to routing outbound communications. The methods include receiving a list of customers to contact, determining a time that each customer on the list is available, determining a personality type of each customer on the list, determining availability of one or more agents at the time that each customer on the list is available, determining, by the one or more processors, a personality type of each available agent, matching the one or more available agents with each customer on the list based on the personality type of each customer on the list and the personality type of each available agent, and routing the one or more available agents to each customer on the list.

Abstract: The methods, apparatus, and systems described herein are designed to route customer communications to the best agent or best available agent. The methods include identifying origination data for a customer contacting a contact center with a customer task, determining a predicted personality type of the customer based on the identified origination data and a customer profile, providing a routing recommendation to a communication distributor to route the customer to an agent based on the predicted personality type of the customer and historical customer data, routing the customer via the communication distributor to the agent based on the routing recommendation, and updating the customer profile.

Abstract: The methods, apparatus, and systems described herein facilitate instructor decision-making based on an analysis of communication(s) between an instructor and a student, including to provide predictions of student outcomes. The methods include receiving communication(s) posted by a student, detecting personality types along with keywords and phrases used by the student and the instructor with a psychologically-based linguistic analysis of the communication(s), scoring the student and instructor communications based on the detected keywords and phrases compared to a library of keywords and phrases, aggregating the student scores by personality type and instructor, correlating the student and instructor scores with historical student data, creating an evaluation report to provide guidance to the students for enrollment based on the correlated scores, and displaying the evaluation report on a student device.

Abstract: Methods, behavioral assessment computer program products, and systems for analyzing electronic customer communication data, generating behavioral assessment data and displaying instructions to a user that include receiving electronic customer communication data from one or more servers configured to provide a user interface comprising a web site, web portal, or virtual portal or application, wherein the electronic communication data includes comments posted on an online forum; determining that the comments include bot comments; identifying a customer associated with the received electronic customer communication data; generating behavioral assessment data for the received electronic customer communication data for the identified customer; and displaying instructions to a user via a reporting engine, wherein the instructions are based on the generated behavioral assessment data.

Abstract: A method for customer-based outcome prediction that includes receiving recordings of interactions with customers in a customer group, analyzing the recordings of the interactions to generate interaction data, and building a predictive model using the interaction data, the predictive model identifying a variable relevant to predicting a likelihood of an identified outcome occurring in association with future interactions with customers in the customer group. The method also includes receiving a recording of a current interaction with a first customer, the first customer being in the customer group and analyzing the recording of the current interaction with the first customer to generate current interaction data. Further, the method includes adding the current interaction data to a first customer profile associated with the first customer and applying the predictive model to the first customer profile to predict the likelihood of the identified outcome occurring in association with the current interaction.

Abstract: A method for analyzing caller interaction events that includes receiving, by a processor, a caller interaction event between an agent and a caller, extracting, by a processor, caller event data from the caller interaction event, analyzing, by a processor, the caller event data, and generating, by a processor, a report displaying one or more selected categories of the caller event data. Systems and non-transitory, computer readable media that control an executable computer readable program code embodied therein, are also described.