QUALITY ASSURANCE ANALYTICS SYSTEMS AND METHODS

1 . An automated quality assurance system configured to reduce the number of communications reviewed, which comprises:

a processor; and

a non-transitory computer readable medium operably connected to the processor, wherein the non-transitory computer readable medium comprises a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, wherein the plurality of instructions comprises:

instructions that, when executed, receive a plurality of communications each between a customer and a customer service agent associated with a contact center;

instructions that, when executed, convert each of the plurality of communications into text;

instructions that, when executed, analyze the text and identifying data of each of the plurality of communications based on voice data and non-voice data to determine a score for each of the plurality of communications based on at least one attribute or contact center objective;

instructions that, when executed, select a sub-set of the plurality of communications for review based on the determined score;

instructions that, when executed, populate an electronic quality assurance analysis form with the identifying data, including a customer name;

instructions that, when executed, transmit the sub-set of communications and the populated quality assurance analysis form to one or more quality assurance monitors; and

instructions that, when executed, display to a user results of a quality assurance analysis by the one or more quality assurance monitors.

2 . The system of claim 1 , wherein each communication comprises a real-time electronic interaction, a recorded telephone call, a real-time telephone call, or a recorded electronic interaction.

3 . The system of claim 2 , wherein the recorded electronic interaction is a video recording.

4 . The system of claim 1 , wherein the at least one attribute comprises an emotional cue, an interaction that does or is predicted to exceed a value threshold, a legal threat, a reference to a competitor, a supervisor escalation, a transfer to a certain destination, and a multiple contact resolution.

5 . The system of claim 1 , wherein the non-transitory computer-readable medium further comprises instructions that, when executed, match the sub-set of communications to the one or more quality assurance monitors according to availability of the quality assurance monitor and one or more skills of the quality assurance monitor.

6 . (canceled)

7 . The system of claim 1 , wherein the non-transitory computer-readable medium further comprises instructions that, when executed, recommend an action to be taken based on the results of the quality assurance analysis.

8 . The system of claim 7 , wherein the recommended action comprises training the customer service agent, routing a future communication from a customer to a suitable customer service agent, or both.

9 . (canceled)

10 . The system of claim 1 , wherein the results of the quality assurance analysis comprise one or more of whether a customer name was used, whether the customer service agent was knowledgeable, and whether the customer service agent used a suitable tone.

11 . The system of claim 1 , wherein the non-transitory computer-readable medium further comprises instructions that, when executed, identifies whether video capture of a customer service agent screen should be started or actually starts video capture in real-time.

12 . A method of conducting a quality assurance analysis to reduce the number of communications reviewed, which comprises:

receiving, by a processor, a plurality of communications, each between a customer and a customer service agent associated with a contact center;

converting, by the processor, each of the plurality of communications into text;

identifying, by the processor, attributes and identifying data in the text of each of the plurality of communications based on voice data and non-voice data to determine a score for each of the plurality of communications based on at least attribute or contact center objective;

selecting, by the processor, a sub-set of the plurality of communications for review based on the determined score;

performing a first quality assurance analysis on the sub-set of communications;

populating, by the processor, an electronic quality assurance analysis form with the identifying data including a customer name; and

displaying to a user, by the processor, the results of the first quality assurance analysis to a user.

13 . The method of claim 12 , wherein the attributes comprise one or more of an emotional cue, an interaction that does or is predicted to exceed a value threshold, a legal threat, reference to a competitor, supervisor escalation, a transfer to a certain destination, and non-first call resolution.

14 . The method of claim 12 , which further comprises recommending an action to be taken based on the results of the first quality assurance analysis.

15 . The method of claim 14 , wherein the recommended action comprises one or more of training of the customer service agent and routing a future communication to a suitable customer service agent.

16 . The method of claim 12 , which further comprises determining that a second quality assurance review is needed based on the results of the first quality assurance analysis.

17 . The method of claim 16 , wherein determining that a second quality assurance review is needed comprises determining that problems, repeated interactions, or both, are present in the communication.

18 . The method of claim 12 , which further comprises identifying whether video capture of a customer agent screen should be started or actually starting real-time video capture.

19 . An automated quality assurance system configured to reduce the number of communications reviewed, which comprises:

an analytics engine configured to:

receive a plurality of communications each between a customer and a customer service agent associated with a contact center;

convert each of the plurality of communications into text;

analyze the text and identifying data of each of the plurality of communications based on voice data and non-voice data to determine a score for each of the plurality of communications based on at least one attribute or contact center objective;

select a sub-set of the plurality of communications for review based on the determined score;

populate an electronic quality assurance analysis form with the identifying data, including a customer name;

a communication engine configured to transmit the sub-set of communications and the populated electronic quality assurance analysis form to one or more quality assurance monitors; and

a display component configured to display to a user results of a quality assurance analysis by the one or more quality assurance monitors.

20 . The system of claim 19 , wherein the at least one attribute comprises an emotional cue, evidence or prediction of an interaction exceeding a value threshold, a legal threat, reference to a competitor, supervisor escalation, a transfer to a certain destination, and non-first call resolution.

21 . The system of claim 19 , further comprising matching the sub-set of communications with the one or more quality assurance monitors based on availability of the one or more quality assurance monitors and one or more skills of the one or more quality assurance monitors.

22 . The system of claim 19 , wherein the results of the quality assurance analysis comprise one or more of whether a customer name was used, whether the customer service agent was knowledgeable, and whether the customer service agent used a suitable tone.

23 . The system of claim 19 , wherein the analytics engine is further configured to recommend actions to be taken based on the results of the quality assurance analysis.

24 . The system of claim 23 , wherein the recommended action comprises one or more of training of the customer service agent and routing a future communication to a suitable customer service agent.

25 . A non-transitory computer readable medium comprising a plurality of instructions, which in response to a computer system, cause the computer system to perform a method comprising:

receiving a plurality of communications each between a customer and a customer service agent associated with a contact center;

converting each of the plurality of communications into text;

analyzing the text and identifying data of each of the plurality of communications based on voice data and non-voice data to determine a score for each of the plurality of communications based on at least one attribute or contact center objective;

selecting a sub-set of the plurality of communications for review based on the determined score;

performing a first quality assurance analysis on the sub-set of communications;

populating an electronic quality assurance analysis form with the identifying data, including a customer name;

displaying results to a user of the first quality assurance analysis to a user; and

recommending that one or more actions be taken.

26 . The method of claim 25 , wherein the at least one attribute comprises evidence of an emotional cue, evidence or prediction of an interaction exceeding a value threshold, a legal threat, reference to a competitor, supervisor escalation, a transfer to a certain destination, and non-first call resolution.

27 . The method of claim 25 , wherein performing the first quality assurance analysis comprises one or more of determining whether a customer name was used, whether the customer service agent was knowledgeable, and whether the customer service agent used a suitable tone.

28 . The method of claim 25 , wherein the recommended one or more actions comprises training of the customer service agent and routing a future communication to a suitable customer service agent.

29 . The method of 25 , which further comprises identifying whether video capture of a customer agent screen should be started or starting video capture in real-time.

30 . The method of claim 25 , which further comprises determining that a second quality assurance review is needed based on the displayed results of the first quality assurance analysis.

31 . (canceled)

32 . The system of claim 1 , wherein the non-transitory computer-readable medium further comprises instructions that, when executed, perform audio analysis on voice data for each of the plurality of communications to detect distress and the audio analysis comprises spectral analysis of an audio file of the voice data.

33 . The system of claim 32 , wherein the non-transitory computer-readable medium further comprises:

instructions that, when executed, select a sub-set of the communications for quality assurance review based on a detection of distress; and

instructions that, when executed, track a time in each communication of the selected sub-set of communications when distress was detected.