System to collect and visualize software usage metrics

Patent metadata

Field	Value
Publication number	US-11870666-B2
Application number	US-202217818464-A
Country	US
Kind code	B2
Filing date	Aug 9, 2022
Priority date	Jun 9, 2016
Publication date	Jan 9, 2024
Grant date	Jan 9, 2024

Abstract

Example embodiments involve a metrics collection system for collecting software usage metrics from one or more client devices at deployments. A computer, such as a server configured to execute the metrics collection system, collects software usage metrics (e.g., as a metrics submission from a client device) of the software product at the deployment, identifies a metrics type of the software usage metrics collected, assigns the software usage metrics to a metrics category, and calculates and updates a metrics score of the metrics category, based on the software usage metrics collected.

First claim

What is claimed is:

1. A system comprising:
one or more processors; and
a memory comprising instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
assigning a metrics submission interval to an identifier associated with a deployment that comprises a plurality of client devices;
querying each of the plurality of client devices based on the metrics submission interval assigned to the identifier associated with the deployment;
causing a client device from among the plurality of client devices to generate a metrics submission based on the metrics submission interval assigned to the identifier associated with the deployment, the metrics submission corresponding with a metrics category;
receiving, from the client device, a metrics submission that comprises software usage data;
generating a score associated with the metrics category, the score comprising an aggregate value based on at least the metrics submission received from the client device;
causing display of a visualization of at least the metrics submission, the visualization including the score.

2. The system of claim 1 , wherein the causing display of the visualization of the metrics submission includes:
determining a visualization type based on an attribute of the metrics submission; and
causing display of the visualization based on the visualization type.

3. The system of claim 1 , wherein the metrics submission comprises a duration string that indicates a metrics type of the metrics submission.

4. The system of claim 3 , wherein the causing display of the visualization of the metrics submission includes:
causing display of the visualization of the metrics submission based on the metrics type of the metrics submission.

5. The system of claim 1 , wherein the generating the score of the metrics category that comprises the aggregate value further comprises:
applying a scoring calculation that comprises of an algorithm that counts all instances of a software application running with a plurality of users;
assigning a point to each client device running the software application running with the plurality of users; and
summing, using the algorithm, the points for the plurality of client devices to generate the score.

6. The system of claim 1 , wherein the metrics submission further comprises indications of one or more of:
a frequency of use of a software application executed by the client device;
a number of unique users of the software application at the client device; and
a list of actions executed with the software application at the client device.

7. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
assigning a metrics submission interval to an identifier associated with a deployment that comprises a plurality of client devices;
querying each of the plurality of client devices based on the metrics submission interval assigned to the identifier associated with the deployment;
causing a client device from among the plurality of client devices to generate a metrics submission based on the metrics submission interval assigned to the identifier associated with the deployment, the metrics submission corresponding with a metrics category;
receiving, from the client device, a metrics submission that comprises software usage data;
generating a score associated with the metrics category, the score comprising an aggregate value based on at least the metrics submission received from the client device;
causing display of a visualization of at least the metrics submission, the visualization including the score.

8. The non-transitory machine-readable storage medium of claim 7 , wherein the causing display of the visualization of the metrics submission includes:
determining a visualization type based on an attribute of the metrics submission; and
causing display of the visualization based on the visualization type.

9. The non-transitory machine-readable storage medium of claim 7 , wherein the metrics submission comprises a duration string that indicates a metrics type of the metrics submission.

10. The non-transitory machine-readable storage medium of claim 9 , wherein the causing display of the visualization of the metrics submission includes:
causing display of the visualization of the metrics submission based on the metrics type of the metrics submission.

11. The non-transitory machine-readable storage medium of claim 7 , wherein the generating the score of the metrics category that comprises the aggregate value further comprises:
applying a scoring calculation that comprises of an algorithm that counts all instances of a software application running with a plurality of users;
assigning a point to each client device running the software application running with the plurality of users; and
summing, using the algorithm, the points for the plurality of client devices to generate the score.

12. The non-transitory machine-readable storage medium of claim 7 , wherein the metrics submission further comprises indications of one or more of:
a frequency of use of a software application executed by the client device;
a number of unique users of the software application at the client device; and
a list of actions executed with the software application at the client device.

13. A method comprising:
assigning a metrics submission interval to an identifier associated with a deployment that comprises a plurality of client devices;
querying each of the plurality of client devices based on the metrics submission interval assigned to the identifier associated with the deployment;
causing a client device from among the plurality of client devices to generate a metrics submission based on the metrics submission interval assigned to the identifier associated with the deployment, the metrics submission corresponding with a metrics category;
receiving, from the client device, a metrics submission that comprises software usage data;
generating a score associated with the metrics category, the score comprising an aggregate value based on at least the metrics submission received from the client device;
causing display of a visualization of at least the metrics submission, the visualization including the score.

14. The method of claim 13 , wherein the causing display of the visualization of the metrics submission includes:
determining a visualization type based on an attribute of the metrics submission; and
causing display of the visualization based on the visualization type.

15. The method of claim 13 , wherein the metrics submission comprises a duration string that indicates a metrics type of the metrics submission.

16. The method of claim 15 , wherein the causing display of the visualization of the metrics submission includes:
causing display of the visualization of the metrics submission based on the metrics type of the metrics submission.

17. The method of claim 13 , wherein the generating the score of the metrics category that comprises the aggregate value further comprises:
applying a scoring calculation that comprises of an algorithm that counts all instances of a software application running with a plurality of users;
assigning a point to each client device running the software application running with the plurality of users; and
summing, using the algorithm, the points for the plurality of client devices to generate the score.

Assignees

• Palantir Technologies Inc

Inventors

• Moore Cody
• Gao Yiwei
• Colombi Andrew
• Karesh David
• Ward William
• Ince-Cushman Alexander
• Bukhari Mohammad
• Kozlowski Daniel
• Richardson Jason

Classifications

• H04L67/01

  Protocols · CPC title

• H04L67/12

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

• H04L43/045 Primary

  for graphical visualisation of monitoring data · CPC title

• H04N1/00506 Primary

  Customising to the data to be displayed · CPC title

• H04L41/22

  comprising specially adapted graphical user interfaces [GUI] · CPC title