Methods, apparatuses and computer program products for managing feature preload data object processing operations in a card-based collaborative workflow management system

Patent metadata

Field	Value
Publication number	US-12596993-B2
Application number	US-202217656715-A
Country	US
Kind code	B2
Filing date	Mar 28, 2022
Priority date	Mar 28, 2022
Publication date	Apr 7, 2026
Grant date	Apr 7, 2026

Abstract

Various embodiments herein described are directed to methods, apparatuses and computer program products configured for managing feature preload data object processing operations in association with a card-based collaborative workflow management system. In some embodiments, a feature processing server may generate a feature preload data object and output the feature preload data object to a client device to enable low latency rendering of one or more feature interface elements to the card-based collaborative workflow management user interface.

First claim

The invention claimed is:

1 . An apparatus configured to manage a card-based collaborative workflow management user interface associated with a card-based collaborative workflow management system, the apparatus comprising at least one processor and at least one non-transitory memory, the at least one non-transitory memory having computer-coded instructions therein, wherein the computer-coded instructions are configured to, in execution with the at least one processor, cause the apparatus to:
identify a user identifier associated with a card-based collaborative workflow management user interface session launch indication; retrieve user data associated with the user identifier from a user data repository; retrieve, based at least in part on at least one feature identifier associated with the user data, feature data from a feature data repository, wherein the at least one feature identifier is associated with one or more feature interface elements that enable at least one function of the card-based collaborative workflow management system; determine, based at least in part on analysis of the user data and the feature data, whether at least one feature engagement parameter associated with the at least one feature identifier satisfies at least one feature engagement threshold; in an instance in which the at least one feature engagement parameter satisfies the at least one feature engagement threshold, generate a feature preload data object corresponding to a set of feature interface elements, wherein the feature preload data object defines a first subset of the set of feature interface elements as one or more preload feature interface elements and a second subset of the set of feature interface elements as one or more non-preload interface elements; and output the feature preload data object to a client device associated with the user identifier to enable low latency rendering of the one or more preload feature interface elements to the card-based collaborative workflow management user interface.

2 . The apparatus of claim 1 , wherein the feature preload data object comprises computer-executable instructions for preloading at least one of a plurality of feature interface elements in the card-based collaborative workflow management user interface.

3 . The apparatus of claim 2 , wherein each of the plurality of feature interface elements is associated with a feature preload data object validity period.

4 . The apparatus of claim 1 , wherein determining whether the at least one feature engagement parameter satisfies the at least one feature engagement threshold is determined using a feature engagement prediction machine learning model.

5 . The apparatus of claim 3 , wherein the feature engagement prediction machine learning model is trained based at least in part on historical feature data associated with the at least one feature identifier and user activity data logs.

6 . The apparatus of claim 1 , wherein the user data comprises historical user interaction data with the card-based collaborative workflow management user interface.

7 . The apparatus of claim 1 , wherein the at least one feature engagement threshold comprises a configurable parameter defining at least one of a user interaction time period, an interaction count, a feature interface element size, and a loading latency period associated with at least one feature interface element.

8 . The apparatus of claim 1 , wherein the computer-coded instructions are configured to, in execution with the at least one processor, cause the apparatus to:
determine, based at least on the user data and the feature data, feature interface element set preloading order; and generate the feature preload data object based at least in part on the feature interface element set preloading order.

9 . The apparatus of claim 8 , wherein the feature preload data object is configured to:
trigger preloading of the plurality of feature interface elements in accordance with the feature interface element set preloading order.

10 . The apparatus of claim 9 , wherein the feature preload data object is configured to:
trigger preloading of at least one secondary feature interface element in response to a user interaction with at least one of the plurality of feature interface elements.

11 . A computer-implemented method for managing a card-based collaborative workflow management user interface associated with a card-based collaborative workflow management system, the computer-implemented method comprising:
identifying, by one or more processors, a user identifier associated with a card-based collaborative workflow management user interface session launch indication; retrieving, by the one or more processors, user data associated with the user identifier from a user data repository; retrieving, by the one or more processors and based at least in part on at least one feature identifier associated with the user data, feature data from a feature data repository, wherein the at least one feature identifier is associated with one or more feature interface elements that enable at least one function of the card-based collaborative workflow management system; determining, by the one or more processors and based at least in part on analysis of the user data and the feature data, whether at least one feature engagement parameter associated with the at least one feature identifier satisfies at least one feature engagement threshold; in an instance in which the at least one feature engagement parameter satisfies the at least one feature engagement threshold, generating, by the one or more processors, a feature preload data object corresponding to a set of feature interface elements, wherein the feature preload data object defines a first subset of the set of feature interface elements as one or more preload feature interface elements and a second subset of the set of feature interface elements as one or more non-preload interface elements; and outputting, by the one or more processors, the feature preload data object to a client device associated with the user identifier to enable low latency rendering of the one or more preload feature interface elements to the card-based collaborative workflow management user interface.

12 . The computer-implemented method of claim 11 , wherein the feature preload data object comprises computer-executable instructions for preloading at least one of a plurality of feature interface elements in the card-based collaborative workflow management user interface.

13 . The computer-implemented method of claim 12 , wherein each of the plurality of feature interface elements is associated with a feature preload data object validity period.

14 . The computer-implemented method of claim 11 , wherein determining whether the at least one feature engagement parameter satisfies the at least one feature engagement threshold is determined using a feature engagement prediction machine learning model.

15 . The computer-implemented method of claim 13 , wherein the feature engagement prediction machine learning model is trained based at least in part on historical feature data associated with the at least one feature identifier and user activity data logs.

16 . The computer-implemented method of claim 11 , wherein the user data comprises historical user interaction data with the card-based collaborative workflow management user interface.

17 . The computer-implemented method of claim 11 , wherein the at least one feature engagement threshold comprises a configurable parameter defining at least one of a user interaction

Assignees

• Atlassian Pty Ltd
• Atlassian Us Inc

Inventors

• Wang Raymond

Classifications

• G06F18/214

  Generating training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title

• G06N20/00

  Machine learning · CPC title

• G06F11/3438 Primary

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

• G06F18/213

  Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods · CPC title

• G06Q10/103 Primary

  Workflow collaboration or project management · CPC title