User feedback mechanism for software applications

Patent metadata

Field	Value
Publication number	US-12050526-B2
Application number	US-202217969555-A
Country	US
Kind code	B2
Filing date	Oct 19, 2022
Priority date	Apr 19, 2022
Publication date	Jul 30, 2024
Grant date	Jul 30, 2024

Abstract

A feedback mechanism that reports software issues between users of software applications and the developers of the software applications. The feedback mechanism generates feedback logs that capture moments of user frustration at the moment a user encounters issues with using a particular software application executing on a client device. The feedback mechanism is triggered to generate a feedback log by the user via a predetermined set of user inputs. Once generated, the feedback log captures an associated importance level, a user description, and/or context information (such as application and command activity information) for the particular software application and one or more other software applications that interacted with the particular software application executing on the client device. The feedback log can also capture multimedia content such as audio, images, and videos. The feedback log is then transmitted to a server of a developer of the particular software application.

First claim

We claim:

1. A computer-implemented method for generating feedback logs for software applications executing on client devices, the method comprising:
querying an operating system for context information associated with a plurality of software applications executing on a client device;
storing the context information within a context data structure;
receiving a first instance of a predetermined set of inputs via an input device;
in response, generating a feedback log that is populated with at least a portion of the context information stored within the context data structure; and
transmitting the feedback log to a server machine.

2. The computer-implemented method of claim 1 , wherein the at least a portion of the context information populating the feedback log includes context information that was stored within the context data structure during a predetermined time period prior to receiving the first instance of the predetermined set of inputs.

3. The computer-implemented method of claim 1 , wherein the context information includes, for each software application included in the plurality of software applications, at least one of an application name, window title, an execution start time, or an execution stop time.

4. The computer-implemented method of claim 1 , wherein the context information includes, for each software application included in the plurality of software applications, a set of commands executed by the software application.

5. The computer-implemented method of claim 1 , wherein the plurality of software applications includes at least a primary application and a secondary application that interact to perform a workflow task.

6. The computer-implemented method of claim 1 , further comprising:
in response to receiving the first instance of the predetermined set of inputs, assigning a first importance level to the feedback log;
receiving a second instance of the predetermined set of inputs via the input device; and
In response to receiving the second instance of the predetermined set of inputs, assigning a second importance level to the feedback log.

7. The computer-implemented method of claim 1 , further comprising:
assigning an importance level to the feedback log that indicates that a log response has been requested for the feedback log; and
receiving the log response for the feedback log from the server machine.

8. The computer-implemented method of claim 1 , wherein the predetermined set of inputs comprises at least one of a predetermined set of key strokes or a predetermined cursor pattern.

9. The computer-implemented method of claim 1 , further comprising storing multimedia content to the feedback log, wherein the multimedia content comprises at least one of audio content, image content, or video content.

10. The computer-implemented method of claim 1 , further comprising:
storing the feedback log within a log archive that includes a plurality of feedback logs; and
generating a user interface for interacting with and displaying the plurality of feedback logs.

11. One or more non-transitory computer-readable media including instructions that, when executed by one or more processors, cause the one or more processors to generate feedback logs for software applications executing on client devices by performing the steps of:
querying an operating system for context information associated with a plurality of software applications executing on a client device;
storing the context information within a context data structure;
receiving a first instance of a predetermined set of inputs via an input device;
in response, generating a feedback log that is populated with at least a portion of the context information stored within the context data structure; and
transmitting the feedback log to a server machine.

12. The one or more non-transitory computer-readable media of claim 11 , wherein the at least a portion of the context information populating the feedback log includes context information that was stored within the context data structure during a predetermined time period prior to receiving the first instance of the predetermined set of inputs.

13. The one or more non-transitory computer-readable media of claim 11 , wherein the context information includes, for each software application included in the plurality of software applications, at least one of an application name, window title, an execution start time, or an execution stop time.

14. The one or more non-transitory computer-readable media of claim 11 , wherein the context information includes, for each software application included in the plurality of software applications, a set of commands executed by the software application, and for each command in the set of commands, at least one of an execution start time or an execution completion time.

15. The one or more non-transitory computer-readable media of claim 11 , wherein the plurality of software applications includes at least a primary application and a secondary application that interact to perform a workflow task.

16. The one or more non-transitory computer-readable media of claim 11 , further comprising:
receiving a second instance of the predetermined set of inputs via the input device;
assigning an importance level to the feedback log based on receiving the second instance of the predetermined set of inputs.

17. The one or more non-transitory computer-readable media of claim 11 , further comprising:
assigning an importance level to the feedback log that indicates that a log response has been requested for the feedback log; and
receiving the log response for the feedback log from the server machine.

18. The one or more non-transitory computer-readable media of claim 11 , wherein the predetermined set of inputs comprises at least one of a cursor-based set of inputs, a desktop region-based set of inputs, a button-based set of inputs, a keyboard-based set of inputs, or a natural-based set of inputs.

19. The one or more non-transitory computer-readable media of claim 11 , further comprising storing multimedia content to the feedback log, wherein the multimedia content comprises at least one of audio content, image content, or video content.

20. A computing system comprising:
a memory that stores instructions; and
a processor that is coupled to the memory and, upon executing the instructions, performs the steps of:
querying an operating system for context information associated with a plurality of software applications executing on a client device;
storing the context information within a context data structure;
receiving a first instance of a predetermined set of inputs via an input device;
in response, generating a feedback log that is populated with at least a portion of the context information stored within the context data structure; and
transmitting the feedback log to a server machine.

Assignees

• Autodesk Inc

Inventors

• Wannamaker Kendra Ann
• Matejka Justin Frank
• Vermeulen Jo Karel
• Fitzmaurice George

Classifications

• G06F11/3476 Primary

  Data logging (G06F11/14, G06F11/2205 take precedence) · CPC title

• G06F2201/865

  Monitoring of software · CPC title

• G06F11/302

  where the computing system component is a software system · CPC title

• G06F11/3438

  monitoring of user actions (tracking the activity of the user H04L67/535) · CPC title

• G06F11/3604 Primary

  Analysis of software for verifying properties of programs (testing of software G06F11/3668) · CPC title