IP Library Patent Application 12036213
Patent Application
App. No. 12/036,213

BEHAVIOR RECOMMENDING FOR GROUPS

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Quick Facts
Patent No.
US None
App. No.
12/036,213
Abstract

Techniques are described for identifying and analyzing behavior patterns by members of a group, and determining if such behavior patterns improve or detract from the group's success. Behavior patterns which improve a group's success may then be applied by other similar groups.

Claims (35)

1 . One or more computer readable storage media, with instructions stored thereon that when executed implement a method comprising:

selecting a measure of success applicable to a first group and a second group, wherein the first group rates higher on the measure of success than the second group;

receiving a first set of data representing behaviors performed in a first role comprising a plurality of actors in the first group;

receiving a second set of data representing behaviors performed in a second role comprising a plurality of actors in the second group;

analyzing the first and second sets of received data representing behaviors to identify a pattern of behavior performed within the first role but not performed within the second role; and

outputting data representing the identified pattern of behavior.

2 . The computer readable storage media of claim 1 , wherein the first set of data comprises data from a customer relationship management system.

3 . The computer readable storage media of claim 1 , wherein the first set of data comprises data from a bug tracking system.

4 . The computer readable storage media of claim 1 , wherein the analyzing comprises using statistical techniques of cluster analysis.

5 . The computer readable storage media of claim 1 , wherein the analyzing comprises using neural networks.

6 . The computer readable storage media of claim 1 , wherein the analyzing comprises using predefined algorithms that aggregate data.

7 . The computer readable storage media of claim 1 , wherein the measure of success is based on the monetary value of sales to a customer.

8 . The computer readable storage media of claim 1 , wherein the measure of success is based on a metric of customer satisfaction.

9 . The computer readable storage media of claim 2 , wherein the data from the customer relationship management system is obtained in real-time.

10 . The computer readable storage media of claim 2 , wherein the data from the customer relationship management system comprises a download of historical data.

11 . A system comprising:

a processor;

a behavior data receiving module configured to receive data representing behaviors of multiple actors within one or more roles;

a success measure data receiving module configured to receive data corresponding to a measure of success;

a data analysis module configured to analyze the behavior data and the success measure data; and

an output module configured to output results of the analysis module.

12 . The system of claim 11 wherein the data analysis module uses statistical techniques of cluster analysis.

13 . The system of claim 11 wherein the data analysis module uses neural networks.

14 . The system of claim 11 wherein the data analysis module uses predefined algorithms that aggregate data.

15 . The system of claim 11 wherein the behavior data receiving module is configured to receive data in real-time.

16 . The system of claim 11 wherein the behavior data receiving module is configured to receive downloads of historical data.

17 . A computer-implemented method comprising:

selecting a measure of success applicable to a first group and a second group, wherein the first group rates higher on the measure of success than the second group;

receiving from a first customer relationship management application a first set of data representing behaviors performed in a first role comprising a plurality of actors in the first group;

receiving from a second customer relationship management application a second set of data representing behaviors performed in a second role comprising a plurality of actors in the second group;

analyzing the first and second sets of received data representing behaviors to identify a pattern of behavior performed within the first role but not performed within the second role; and

outputting data representing the identified pattern of behavior.

18 . The method of claim 15 , wherein the measure of success represents a monetary value of sales.

19 . The method of claim 15 , wherein the measure of success represents a percentage increase of sales dollar value.

20 . The method of claim 15 , wherein the measure of success represents a metric of customer satisfaction.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 15, 2015
From: MICROSOFT CORPORATION
To: MICROSOFT TECHNOLOGY LICENSING, LLC
Reel/Frame 034766/0509 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 22, 2008
From: LUND, ARNOLD M
To: MICROSOFT CORPORATION
Reel/Frame 020548/0905 →