Collaboration UI Ranking for Faster Work Record Access

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing web-based collaboration environments require substantial navigation through multiple views and pages to locate and access relevant work unit records, consuming additional resources and hindering efficient collaboration.

Innovation Solution

A system that customizes the user interface based on ranking of work unit records using machine learning models, prioritizing high-ranked records for quicker access, leveraging user-level and domain-level interactions to improve navigation efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If users navigate through multiple views and pages to locate work unit records, then complete record access is achieved, but navigation time and server resources increase

Engineering Contradiction:

Improvenavigation timeVSAvoidrecord access efficiency

Core Design Contradiction:

Loss of timeVSProductivity

Solution Approach 1:

The system performs preliminary ranking of work unit records based on user interactions and domain-level patterns before users need to access them. This pre-computed ranking allows the interface to present only the most relevant records, eliminating the need for users to navigate through multiple views and pages to find relevant content.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention extracts and presents only the most relevant work unit records based on ranked likelihood of revisit, separating them from the broader set of all records. This extraction allows users to access high-priority records directly without navigating through irrelevant content, reducing both time loss and server resource consumption.

Inventive Principle:

Principle #2Taking out (Extraction)

2Speed

If the system ranks and customizes user interface based on user interactions, then record access speed improves, but system complexity increases

Engineering Contradiction:

Improverecord access speedVSAvoidsystem complexity

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The system automatically learns user preferences and domain-level patterns through monitoring user interactions with work unit records. This self-learning mechanism enables the system to autonomously generate personalized rankings and customize the user interface without requiring manual configuration or complex user input, thereby achieving fast record access while keeping operational complexity manageable.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes the presentation parameters of the user interface dynamically based on computed rankings. Instead of presenting all records uniformly, the system adjusts the order, visibility, and accessibility parameters of records based on their ranked likelihood of being revisited, achieving personalized fast access through parameter transformation rather than fundamental system redesign.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If detailed navigation is performed to find specific records, then accurate record location is achieved, but server resource consumption increases

Engineering Contradiction:

Improverecord location accuracyVSAvoidserver resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by stationary object

Solution Approach 1:

The system performs preliminary ranking computation based on user interactions and domain-level patterns before users initiate navigation. This pre-ranking allows the system to present only the most relevant records, enabling users to locate accurate records quickly without triggering extensive server processing during the navigation process itself.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention extracts and presents only the top-ranked relevant records to users, separating them from the complete record set. This extraction approach maintains accurate record location by presenting the most likely relevant records first, while significantly reducing server resource consumption by avoiding the need to process and serve all records during user navigation.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20250355685A1Systems and methods to customize a user interface of a collaboration environment based on ranking of work unit records managed by the collaboration environment

Publication Date: 2025.11.20 ASANA INC

AI summary

Systems and methods to customize a user interface of a collaboration environment based on ranking of work unit records managed by the collaboration environment are described herein. Exemplary implementations may: manage environment state information maintaining a collaboration environment; determine user-level record interaction information characterizing interactions of individual ones of the users with individual ones of the work unit records; determine domain-level record interaction information characterizing the interactions of a set of the users with the individual ones of the work unit records; generate, for the individual ones of the users, rankings of the work unit records based on the user-level record interaction information and the domain-level record interaction information; effectuate presentation of instances of a user interface of the collaboration environment customized for individual users based on the rankings; and/or perform other operations.