SYSTEMS AND METHODS FOR EVALUATION OF INTERPERSONAL INTERACTIONS TO PREDICT REAL WORLD PERFORMANCE

1 . A system, comprising:

an input device;

a memory storing instructions; and

one or more processors communicatively coupled with the input device and the memory, the one or more processors configured to:

receive ratings data corresponding to a first user from the input device indicating an assessment of the first user during an interpersonal interaction;

evaluate the ratings data corresponding to the first user in comparison to ratings data corresponding to a plurality of rated users; and

output a result of the evaluated ratings data indicating an evaluation of the first user during the interpersonal interaction.

2 . The system of claim 1 , wherein the one or more processors is further configured to:

calculate a performance score corresponding to the first user in response to the evaluated ratings data.

3 . The system of claim 2 , wherein the performance score corresponds to a rating of the first user in relation to one or more users of the system.

4 . The system of claim 2 , wherein the performance score correlates to any real-world performance metric for the first user that predicts an impact of the first user on a real-world performance.

5 . The system of claim 1 , wherein the one or more processors is further configured to:

identify transitions from a first state of the ratings data to a second state of the ratings data.

6 . The system of claim 5 , wherein the one or more processors is further configured to:

weight each of the transitions from the first state to the second state to indicate a relevance of each of the transitions; and

calculate a performance score corresponding to the first user based on weights of the transitions.

7 . The system of claim 1 , wherein the one or more processors is further configured to:

determine one or more characteristics to improve a performance score corresponding to the first user based the result of the evaluated ratings data; and

output the one or more characteristics with the result.

8 . The system of claim 1 , wherein the one or more processors is further configured to:

identify one or more positions or groups within an organization for the first user based the result of the evaluated ratings data; and

output the one or more positions or groups within the organization with the result.

9 . The system of claim 1 , wherein the one or more processors is further configured to:

predictively compute, prior to an end of the interpersonal interaction, a probability of the first user successfully completing the interpersonal interaction based on historical data obtained during historical interpersonal interaction.

10 . A method for evaluation of an interpersonal interaction to predict real world performance, comprising:

receiving ratings data corresponding to a first user from a input device indicating an assessment of the first user during the interpersonal interaction;

evaluating the ratings data corresponding to the first user in comparison to ratings data corresponding to a plurality of rated users; and

outputting a result of the evaluating indicating an evaluation of the first user during the interpersonal interaction.

11 . The method of claim 10 , further comprising:

calculating a performance score corresponding to the first user in response to the evaluating the ratings data.

12 . The method of claim 11 , wherein the performance score corresponds to a rating of the first user in relation to one or more users involved in the interpersonal interaction.

13 . The method of claim 11 , wherein the performance score correlates to any real-world performance metric for the first user that predicts an impact of the first user on a real-world performance.

14 . The method of claim 10 , wherein the evaluating the ratings data comprises:

identifying transitions from a first state of the ratings data to a second state of the ratings data.

15 . The method of claim 14 , wherein the evaluating the ratings data further comprises:

weighting each of the transitions from the first state to the second state to indicate a relevance of each of the transitions; and

calculating a performance score corresponding to the first user based on the weighting of the transitions.

16 . The method of claim 10 , further comprising:

determining one or more characteristics to improve a performance score corresponding to the first user based the result of the evaluating; and

outputting the one or more characteristics with the result.

17 . The method of claim 10 , further comprising:

identifying one or more positions or groups within an organization for the first user based the result of the evaluating; and

outputting the one or more positions or groups within the organization with the result.

18 . The method of claim 10 , further comprising:

predictively computing, prior to an end of the interpersonal interaction, a probability of the first user successfully completing the interpersonal interaction based on historical data obtained during historical interpersonal interaction.

19 . A computer-readable medium storing executable code for executing on one or more processors, comprising code to:

receive ratings data corresponding to a first user from an input device indicating an assessment of the first user during an interpersonal interaction;

evaluate the ratings data corresponding to the first user in comparison to ratings data corresponding to a plurality of rated users; and

output a result of the evaluated ratings data indicating an effectiveness of the first user during the interpersonal interaction.

20 . The computer-readable medium of claim 19 , further comprising code to:

calculate a performance score corresponding to the first user in response to the evaluated ratings data.