TEAM PERFORMANCE SUPERVISOR

1 . A method of evaluating performance of a person, the method comprising:

processing, by a computer system, a plurality of documents which record communications of a person to identify a task assigned to the person;

identifying a subset of the plurality of documents, wherein the subset of documents is associated with the task;

analyzing the subset of documents to identify a completion status of the task; and

determining a value of a performance metric associated with the person, wherein the value of the performance metric reflects the completion status of the task.

2 . The method of claim 1 , wherein analyzing the subset of documents further comprises determining a level of sentiments associated with the task, and wherein the performance metric further reflects the level of sentiments.

3 . The method of claim 1 , wherein analyzing the subset of documents further comprises determining a number of tasks of a given category completed by the person within a specified period of time, and wherein the performance metric further reflects the number of tasks.

4 . The method of claim 1 , wherein analyzing the subset of documents further comprises determining a rate of responding to communications by the person over a period of time, and wherein the performance metric further reflects the rate of responding to communications.

5 . The method of claim 1 , further comprising:

determining that a difference between the value of the performance metric associated with the person and an aggregate value of the performance metric associated with an organizational unit associated with the person exceeds a pre-defined threshold; and

generating an alert referencing the value of the performance metric.

6 . The method of claim 1 , further comprising:

determining that a difference between the value of the performance metric associated with the person and a historic value of the performance metric associated with the person exceeds a pre-defined threshold; and

generating an alert referencing the value of the performance metric.

7 . The method of claim 1 , wherein analyzing the subset of documents further comprises:

applying, to the subset of documents, a set of production rules yielding the completion status of the task.

8 . The method of claim 1 , wherein analyzing the subset of documents further comprises:

applying, to the subset of documents, a trainable classifier producing the completion status of the task.

9 . The method of claim 1 , wherein analyzing the subset of documents further comprises:

applying, to the subset of documents, a neural network producing the completion status of the task.

10 . The method of claim 1 , wherein the plurality of documents is provided by an electronic mailbox comprising a plurality of electronic mail messages.

11 . The method of claim 1 , further comprising:

visually representing the value of the performance metric via a graphical user interface.

12 . A method of evaluating performance of a person, the method comprising:

processing, by a computer system, a plurality of documents which record communications of a person to identify a task assigned to the person;

identifying a subset of the plurality of documents, wherein the subset of documents is associated with the task;

analyzing the subset of documents to identify a level of sentiments associated with the task; and

determining a value of a performance metric associated with the person, wherein the value of the performance metric reflects the level of sentiments.

13 . The method of claim 12 , wherein determining the value of the performance metric further comprises:

analyzing the subset of documents to identify a completion status of the task.

14 . The method of claim 12 , further comprising:

determining that a difference between the value of the performance metric associated with the person and a reference value of the performance metric exceeds a pre-defined threshold; and

generating an alert referencing the value of the performance metric.

15 . The method of claim 12 , further comprising:

visually representing the value of the performance metric via a graphical user interface.

16 . A non-transitory computer-readable storage medium comprising executable instructions that, when executed by a computer system, cause the computer system to:

process a plurality of documents which record communications of a person to identify a task assigned to the person;

apply, to the plurality of documents, a trainable classifier to identify a completion status of the task; and

determine a value of a performance metric associated with the person, wherein the value of the performance metric reflects the completion status of the task.

17 . The non-transitory computer-readable storage medium of claim 16 , wherein determining the value of the performance metric further comprises:

analyzing the plurality of documents to determine a number of tasks of a given category completed by the person within a specified period of time.

18 . The non-transitory computer-readable storage medium of claim 16 , wherein determining the value of the performance metric further comprises:

analyzing the plurality of documents to determine a level of sentiments associated with the task.

19 . The non-transitory computer-readable storage medium of claim 16 , further comprising executable instructions causing the computer system to:

determining that a difference between the value of the performance metric associated with the person and a reference value of the performance metric exceeds a pre-defined threshold; and

generating an alert referencing the value of the performance metric.

20 . The non-transitory computer-readable storage medium of claim 16 , further comprising executable instructions causing the computer system to:

visually representing the value of the performance metric via a graphical user interface.