A system and method for testing of automated contact center customer response systems using a customer response testing system and a real time conversation engine, wherein the customer response testing system generates simulated human queries using persona profiles, sends test cases containing those queries to a contact center under test, and receives and analyzes the responses to determine whether the contact center's automated response systems understand the queries and respond appropriately.

A system and method for testing of automated contact center customer response systems using a customer response testing system and a real time conversation engine, wherein the customer response testing system generates simulated human queries using persona profiles, sends test cases containing those queries to a contact center under test, and receives and analyzes the responses to determine whether the contact center's automated response systems understand the queries and respond appropriately.

A mobile dashboard for automated contact center testing gives up-to-the-minute status reports on your customer experience, enabling you to make operational decisions and drill down to the source of an issue while on the go. A mobile-optimized executive dashboard display can be customized for each unique user, so business and technical stakeholders can filter the display for the customer experience (CX) metrics that are most relevant to them, and configure push notification alerts accordingly.

A mobile dashboard for automated contact center testing gives up-to-the-minute status reports on your customer experience, enabling you to make operational decisions and drill down to the source of an issue while on the go. A mobile-optimized executive dashboard display can be customized for each unique user, so business and technical stakeholders can filter the display for the customer experience (CX) metrics that are most relevant to them, and configure push notification alerts accordingly.

Example methods and apparatus for providing voice alignment are described. One example method including: obtaining an original voice and a test voice, the test voice is a voice generated after the original voice is transmitted over a communications network; performing loss detection and/or discontinuity detection on the test voice, the loss detection is used to determine whether the test voice has a voice loss compared with the original voice, and the discontinuity detection is used to determine whether the test voice has voice discontinuity compared with the original voice; and aligning the test voice with the original voice based on a result of the loss detection and/or the discontinuity detection, to obtain an aligned original voice and an aligned test voice, the result of the loss detection and/or the discontinuity detection is used to indicate a manner of aligning the test voice with the original voice.

A system and method for testing of automated contact center customer response systems using a customer response testing system and a real time conversation engine, wherein the customer response testing system generates simulated human queries using persona profiles, sends test cases containing those queries to a contact center under test, and receives and analyzes the responses to determine whether the contact center’s automated response systems understand the queries and respond appropriately.

A system and method for testing of automated contact center customer response systems using a customer response testing system and a real time conversation engine, wherein the customer response testing system generates simulated human queries using persona profiles, sends test cases containing those queries to a contact center under test, and receives and analyzes the responses to determine whether the contact center’s automated response systems understand the queries and respond appropriately.

A system for flexible and scalable automated end-to-end chat-based contact center testing, having a test case management platform, a chat cruncher, a contact center manager, a chat classifier, a desktop automation engine, and headless browser-based virtual agents and customers. The test case management platform allows a user to configure operation of the system. The chat cruncher operates a plurality of virtual customers. The contact center manager operates a plurality of virtual agents to participate in chat session with virtual customers.

A system for flexible and scalable automated end-to-end chat-based contact center testing, having a test case management platform, a chat cruncher, a contact center manager, a chat classifier, a desktop automation engine, and headless browser-based virtual agents and customers. The test case management platform allows a user to configure operation of the system. The chat cruncher operates a plurality of virtual customers. The contact center manager operates a plurality of virtual agents to participate in chat session with virtual customers.

Methods and systems provided herein ensure that communication sessions such as phone calls over PSTNs can be reconstructed in the event that the session ends unintentionally. Methods and systems include detecting a call ended, analyzing data associated with the call, determining, based on the data, the call ended unintentionally, and reconstructing the call based on the determination the call ended unintentionally.