Customer satisfaction system and method based on behavioral assessment data

1. A non-transitory computer readable medium comprising a plurality of instructions stored therein adapted to generate a customer satisfaction score based on behavioral assessment data, the plurality of instructions comprising:

instructions that, when executed, analyze one or more communications between a customer and an agent, wherein the analysis comprises instructions that, when executed, apply a linguistic-based psychological behavioral model to each communication to determine a personality type of the customer by analyzing behavioral characteristics of the customer based on the one or more communications;

instructions that, when executed, select at least one filter criterion which comprises a customer, an agent, a team, or a call type;

instructions that, when executed, calculate a customer satisfaction score using the at least one selected filter criterion across a selected time interval and based on the one or more communications; and

instructions that, when executed, display a report including the calculated customer satisfaction score to a user that matches the at least one selected filter criterion for the selected time interval.

2. The non-transitory computer readable medium of claim 1 , which further comprises instructions that, when executed, weight the customer satisfaction score to adjust the importance of one or more identifying criterion.

3. The non-transitory computer readable medium of claim 2 , wherein the identifying criterion includes at least one of: communication duration, average communication duration by call type, customer talk time, number of holds over a pre-determined time period, hold time, silence time longer, number of silences, or a combination thereof.

4. The non-transitory computer readable medium of claim 2 , wherein the weighting of the customer satisfaction score further comprises instructions that, when executed, identify criteria from a starting point of 100 by subtracting 20% for a longer than average communication duration, by 10% for a hold time longer than a pre-selected amount, by 10% for a silence time longer than a pre-selected amount, by 20% based on caller distress, by 20% based on program dissatisfaction, or a combination thereof.

5. The non-transitory computer readable medium of claim 1 , which further comprises instructions that, when executed, calculate the customer satisfaction score for a plurality of clients and that rank the plurality of clients for the at least one selected event filter criterion.

6. The non-transitory computer readable medium of claim 1 , which further comprises instructions that, when executed, select a department or division of a customer as the at least one selected filter criterion.

7. The non-transitory computer readable medium of claim 1 , wherein the selected time interval comprises a pre-defined time interval.

8. The non-transitory computer readable medium of claim 7 , wherein the pre-defined time interval includes a day, a week, a month, a quarter or a year.

9. The non-transitory computer readable medium of claim 1 , wherein the customer satisfaction score is a composite value based on a ranking of relative client satisfaction scores for each call type across selected filter criteria.

10. The non-transitory computer readable medium of claim 1 , wherein the report displayed comprises a program report, a detail level report, a non-analyzed call report, a call type report, a customer satisfaction report, a report based on customer satisfaction, a report based on agent performance, or a combination thereof.

11. The non-transitory computer readable medium of claim 1 , wherein the linguistic-based psychological behavioral model comprises a six-tier configuration of six basic personality types.

12. The non-transitory computer readable medium of claim 1 , wherein the communication comprises at least one of a phone call, e-mail, web interaction, VoIP, or video.

13. A method of generating a customer satisfaction score based on behavioral assessment data across one or more recorded communications, which comprises:

analyzing one or more communications between a customer and an agent, wherein the analyzing comprises applying a linguistic-based psychological behavioral model to each communication to determine a personality type of the customer by analyzing behavioral characteristics of the customer based on the one or more communications;

selecting at least one filter criterion which comprises a customer, an agent, a team, or a call type;

calculating a customer satisfaction score using the at least one selected filter criterion across a selected time interval and based on the one or more communications; and

displaying a report including the calculated customer satisfaction score to a user that matches the at least one selected filter criterion for the selected time interval.

14. The method of claim 13 , which further comprises weighting the customer satisfaction score to adjust the importance of one or more identifying criterion.

15. The method of claim 13 , wherein the identifying criterion is selected to include at least one of: communication duration, average communication duration by call type, customer talk time, number of holds over a pre-determined time period, hold time, silence time longer, number of silences, or a combination thereof.

16. The method of 14 , wherein the weighting of the customer satisfaction score further comprises identifying criteria from a starting point of 100 by subtracting 20% for a longer than average communication duration, by 10% for a hold time longer than a pre-selected amount, by 10% for a silence time longer than a pre-selected amount, by 20% based on caller distress, by 20% based on program dissatisfaction, or a combination thereof.

17. The method of claim 13 , which further comprises calculating the customer satisfaction score for a plurality of clients and ranking the plurality of clients for the at least one selected event filter criterion.

18. The method of claim 13 , which further comprises selecting a department or division of a customer as the at least one selected filter criterion.

19. The method of claim 13 , wherein the selected time interval is selected to comprise a pre-defined time interval.

20. The method of claim 19 , wherein the pre-defined time interval includes a day, a week, a month, a quarter or a year.

21. The method of claim 13 , wherein the customer satisfaction score is selected to comprise a composite value based on a ranking of relative client satisfaction scores for each call type across selected filter criteria.

22. The method of claim 13 , wherein the report displayed comprises a program report, a detail level report, a non-analyzed call report, a call type report, a customer satisfaction report, a report based on customer satisfaction, a report based on agent performance, or a combination thereof.

23. The method of claim 13 , wherein the linguistic-based psychological behavioral model is selected to comprise a six-tier configuration of six basic personality types.

24. The method of claim 13 , wherein the communication is selected to comprise at least one of a phone call, e-mail, web interaction, VoIP or video.

25. A system configured to generate a customer satisfaction score based on behavioral assessment data across one or more recorded communications, which comprises:

a non-transitory computer readable medium operably coupled to one or more processors, the non-transitory computer readable medium comprising a plurality of instructions stored therein that are accessible to, and executable by, the one or more processors, wherein the plurality of instructions comprises:

instructions that, when executed, analyze one or more communications between a customer and an agent, wherein the analysis comprises instructions that, when executed, apply a linguistic-based psychological behavioral model to each communication to determine a personality type of the customer by analyzing behavioral characteristics of the customer based on the one or more communications;

instructions that, when executed, select at least one filter criterion which comprises a customer, an agent, a team, or a call type;

instructions that, when executed, calculate a customer satisfaction score using the at least one selected filter criterion across a selected time interval and based on the one or more communications; and

instructions that, when executed, display a report including the calculated customer satisfaction score to a user that matches the at least one selected filter criterion for the selected time interval.

26. The system of claim 25 , which further comprises instructions that, when executed, weight the customer satisfaction score to adjust the importance of one or more identifying criterion.

27. The system of claim 25 , wherein the identifying criterion includes at least one of: communication duration, average communication duration by call type, customer talk time, number of holds over a pre-determined time period, hold time, silence time longer, number of silences, or a combination thereof.

28. The system of claim 26 , wherein the weighting of the customer satisfaction score further comprises instructions that, when executed, identify criteria from a starting point of 100 by 20% for a longer than average communication duration, by 10% for a hold time longer than a pre-selected amount, by 10% for a silence time longer than a pre-selected amount, by 20% based on caller distress, by 20% based on program dissatisfaction, or a combination thereof.

29. The system of claim 25 , wherein the customer satisfaction score is a composite value based on a ranking of relative client satisfaction scores for each call type across selected filter criteria.

30. The system of claim 25 , wherein the linguistic-based psychological behavioral model comprises a six-tier configuration of six basic personality types.