System and Method for Improving Productivity

• US 20100042706A1
• Filed: 08/14/2009
• Published: 02/18/2010
• Est. Priority Date: 08/15/2008
• Status: Active Grant

• Current Assignee: Work Meter, Inc.
• Original Assignee: WorkMeter LLC
• Inventors: Prieto, Joan Pons, Casanova, David Llort, Angel, Andre
• Granted Patent: US 8,843,106 B2
• Time in Patent Office: Days
• US Class Current: 709/221
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: H04W 24/00 Supervisory, monitoring or testing arrangements
• CPC Class Codes: H04W 4/24 Accounting or billing

Abstract

In some aspects, a method of the present disclosure includes collecting user activity data from a client device. The method also includes defining an activity-productivity map that defines a rule for determining a unit of productivity based on the activity data. A productivity metric may be determined using the user activity data and the rule for determining the unit of productivity. Upon determining the productivity metric, a visual representation of the productivity metric may be provided.

Claims

1. A method, comprising:

collecting user activity data from a client device;

defining an activity-productivity map that defines a rule for determining a unit of productivity based on the activity data;

determining a productivity metric using the user activity data and the rule for determining the unit of productivity; and

providing a visual representation of the productivity metric.

2. The method of claim 1, wherein the client device is a computing device, and user activity data includes an amount of time that a user uses an application deployed on the client device.

3. The method of claim 1, further comprising determining if the productivity metric satisfies a productivity requirement.

4. The method of claim 3, further comprising sending an alert if the productivity metric satisfies the productivity requirement.

5. The method of claim 1, wherein determining the productivity metric further comprises using telephone data provided by a data source.

6. The method of claim 1, wherein determining the productivity metric further comprises using CRM data provided by a data source.

7. The method of claim 1, wherein determining the productivity metric further comprises using GPS data provided by a data source.

8. The method of claim 1, wherein determining the productivity metric further comprises comparing telephone activity data provided by a first data source with customer contact information provided by a second data source.

9. A system for evaluating productivity, wherein the system includes:

a client device configured to maintain a record of activities performed on the client device;

a server that is communicably coupled to the client device, wherein the server is configured to maintain an activity-productivity map that defines a rule for determining a unit of productivity based on the activity data, and determine a productivity metric using the record of user activities and the rule for determining the unit of productivity.

10. The system of claim 9, wherein the client device is a computing device, and the activity data includes an amount of time that a user uses an application deployed on the client device.

11. The system of claim 9, wherein the server is further configured to determine if the productivity metric satisfies a productivity requirement, and send an alert to a user of the client device if the productivity metric satisfies the productivity requirement.

12. The system of claim 9, further comprising a telephone system that is communicably coupled to the server, and wherein the telephone system maintains telephone usage data, and wherein the server is configured to determine the productivity metric using the telephone activity data.

13. The system of claim 9, further comprising a CRM system that is communicably coupled to the server, and wherein the CRM system maintains CRM data, and wherein the server is configured to determine the productivity metric using the CRM activity data.

14. The system of claim 9, further comprising a GPS system that is communicably coupled to the server, and wherein the GPS system maintains GPS data, and wherein the server is configured to determine the productivity metric using the GPS activity data.

15. The system of claim 9, further comprising a first data source that maintains contact information, and a second data source that maintains telephone activity data, and wherein the server is configured to compare the contact information and the telephone activity data as part of determining the productivity metric.

17. The method of claim 15, wherein the client device is a computing device, and user activity data includes an amount of time that a user uses an application deployed on the client device.

18. The computer of claim 15, wherein the instructions further comprise instructions for determining if the productivity metric satisfies a productivity requirement, and instructions for sending an alert if the productivity metric satisfies the productivity requirement.

19. The computer of claim 15, wherein the instructions for determining the productivity metric further comprises instructions for using telephone data provided by a data source to determine the productivity metric.

20. The computer of claim 15, wherein the instructions for determining the productivity metric further comprises instruction for comparing telephone activity data provided by a first data source with customer contact information provided by a second data source.

16. A computer having a computer-readable medium, and a processor configured to execute instructions stored on the computer-readable medium, wherein the computer-readable medium instructions comprise:

instructions for collecting user activity data from a client device;

instructions for defining an activity-productivity map that defines a rule for determining a unit of productivity based on the activity data;

instructions for determining a productivity metric using the user activity data and the rule to determine the unit of productivity; and

instructions for providing a visual representation of the productivity metric.