Abstract: Disclosed are system and methods for digitally capturing, labeling, and analyzing data representing shared experiences between a service provider and a customer. The shared experience data is used to identify, test, and implement value-added improvements, enhancements, and augmentations to the shared experience and to monitor and ensure the quality of customer service. The improvements can be implemented as customer service process modifications, precision learning and targeted coaching for agents rendering customer service, process compliance monitoring, and as knowledge curation for a knowledge bot software application that facilitates automation of tasks and provides a natural language interface for accessing historical knowledge bases and solutions.

Abstract: One embodiment includes a dynamic candidate queuing system. The dynamic candidate queuing system includes a network comprising a server communicatively coupleable with one or more other computers. The server includes a processor and a storage device coupled to the processor. The server is configured to receive data entered at the one or more other computers by candidates and store the data in the storage device. Further, the processor generates a queue listing of candidates in the storage device and the queue listing is organized according to a score given to the data.