BEHAVIOR RECOMMENDING FOR GROUPS

• US 20090216626A1
• Filed: 02/22/2008
• Published: 08/27/2009
• Est. Priority Date: 02/22/2008
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Lund, Arnold M.
• Application Number:
  US12/036,213
• Publication Number:
  US 20090216626A1
• Time in Patent Office: Days
• US Class Current: 705/11
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

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

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.

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.

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.