System and method for improving productivity

• US 8,843,106 B2
• Filed: 08/14/2009
• Issued: 09/23/2014
• Est. Priority Date: 08/15/2008
• Status: Active Grant

• Current Assignee: Work Meter, Inc.
• Original Assignee: Work Meter, Inc.
• Inventors: Casanova, David Llort, Angel, Andre, Pons Prieto, Joan
• Primary Examiner(s): Ashraf, Waseem
• Assistant Examiner(s): MURPHY, CHARLES C
• Application Number:
  US12/541,782
• Publication Number:
  US 20100042706A1
• Time in Patent Office: 1,866 Days
• Field of Search: 705/4, 705/3, 705/38, 705/37, 705/35, 705/30, 705/7.42, 705/7.38, 705/7.37, 705/7.36, 705/7.29, 709/250, 709/225, 709/224, 709/203, 709/246, 709/219, 709/213, 709/204, 709/223, 709/201, 709/218, 709/220, 702/188, 702/186, 719/313, 726/23, 726/22
• US Class Current: 455/405
• 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 relating to operation of a first and a second software application;

defining an activity-productivity map that defines a rule for determining a unit of productivity based on the activity data, the activity-productivity map based at least in part on a first productivity ratio for the first software application and a second productivity ratio for the second software application, wherein each of the first productivity ratio and the second productivity ratio includes a predefined multiplier to be applied to a user'"'"'s total activity with respect to the respective software application to determine how much of a user'"'"'s activity with respect to the respective software application should be considered productive, and at least one of the first and second productivity ratios is different between a first user group and a second user group;

comparing telephone activity data with customer contact information to determine whether a call is one of;

to a customer and from a customer;

classifying the call as productive based on the call being one of;

to a customer and from a customer;

determining a productivity metric using the rule of the activity-productivity map for determining the unit of productivity and using a classification of the call as productive; and

providing a visual representation of the productivity metric.

2. The method of claim 1, wherein the client device is a computing device, and the 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.

17. The method of claim 2, wherein the user activity data further includes an amount of time that a user uses each of a plurality of applications deployed on the client device.

18. The method of claim 6, wherein the CRM data provided by the data source includes one of a measure of client sales conversions and a measure of telephone usage.

19. The method of claim 7, wherein the GPS data provided by the data source includes location-tracking information.

20. The method of claim 7, wherein the determining of the productivity metric includes cross-referencing the GPS data with a customer location.

21. The method of claim 1, wherein the client device includes a mobile device, and wherein the mobile device runs the first and the second software application.

22. The method of claim 1, wherein the providing of the visual representation of the productivity metric provides the visual representation to the client device.

23. The method of claim 22, wherein the client device includes a mobile device, and wherein the providing of the visual representation of the productivity metric provides the visual representation to the mobile device.

8. 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 defining a first productivity ratio for a first software application and a second productivity ratio for a second software application, wherein each of the first productivity ratio and the second productivity ratio includes a predefined multiplier to be applied to a user'"'"'s total activity with respect to the respective software application to determine how much of a user'"'"'s activity with respect to the respective software application should be considered productive,

compare telephone activity data to customer contact information, classify a call as productive based on the comparison determining that the call was one of;

to a customer and from a customer,

determine a productivity metric using the record of user activities the rule defining the first and second productivity ratios, and the classification of the call as productive.

9. The system of claim 8, 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.

10. The system of claim 8, 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.

11. The system of claim 8, further comprising a telephone system that is communicably coupled to the server, and wherein the telephone system maintains the telephone usage data.

12. The system of claim 8, 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.

13. The system of claim 8, 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.

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

instructions for correcting 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 utilizing a first productivity ratio for a first software application and a second productivity ratio for a second software application, wherein each of the first productivity ratio and the second productivity ratio includes a predefined multiplier to be applied to a user'"'"'s total activity with respect to the respective software application to determine how much of a user'"'"'s activity with respect to the respective software application should be considered productive;

instructions for classifying a call as productive based on the call being one of;

to a customer and from a customer;

instructions for determining a productivity metric using the user activity data, the rule to determine the unit of productivity, and the classifying of the call as productive; and

instructions for providing a visual representation of the productivity metric.

15. The computer of claim 14, 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.

16. The computer of claim 14, 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.