Self-Monitoring Tool Recommendations for Collaborative Table Work

Solution Overview

Problem

Current project management software applications lack the ability to effectively determine the most appropriate tools, functions, and rules to implement, leading to inefficient outcomes due to the vast number of available tools and rules, which complicates project management and resource optimization.

Innovation Solution

The system self-monitors software usage, identifies historically used tools, compares them with alternative tools, and recommends more efficient tools to improve performance by analyzing usage data and applying machine learning and artificial intelligence to optimize tool usage and logical rule associations within project management platforms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If project management software provides a vast number of tools and rules, then functionality and versatility are improved, but device complexity and ease of operation deteriorate

Engineering Contradiction:

ImprovefunctionalityVSAvoidcomplexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system automatically monitors tool usage patterns, analyzes historical data, and generates optimization recommendations without requiring manual configuration or user intervention. The software self-adjusts by identifying underutilized tools and suggesting more efficient alternatives based on actual usage behavior.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements a feedback loop where tool usage is continuously monitored and analyzed. Usage data is fed back into the system to generate recommendations, which are then presented to users. This closed-loop feedback mechanism enables the system to adapt and improve based on actual usage patterns.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If project management software provides a vast number of tools and rules, then functionality and versatility are improved, but ease of operation worsens

Engineering Contradiction:

ImprovefunctionalityVSAvoidease of use

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically monitors tool usage patterns, analyzes historical data, and generates optimization recommendations without requiring manual configuration or user intervention. The software self-adjusts by identifying underutilized tools and suggesting more efficient alternatives based on actual usage behavior.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements a feedback loop where tool usage is continuously monitored and analyzed. Usage data is fed back into the system to generate recommendations, which are then presented to users. This closed-loop feedback mechanism enables the system to adapt and improve based on actual usage patterns.

Inventive Principle:

Principle #23Feedback

3Productivity

If the system monitors and analyzes tool usage data, then productivity and performance optimization are improved, but use of energy and computational resources worsen

Engineering Contradiction:

ImproveefficiencyVSAvoidcomputational resources

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system monitors tool usage data selectively rather than comprehensively, focusing on key metrics and patterns that provide the most value for optimization. By analyzing only the most relevant usage data, the system achieves effective productivity improvement while reducing unnecessary computational overhead.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11301811B2Digital processing systems and methods for self-monitoring software recommending more efficient tool usage in collaborative work systems

Publication Date: 2022.04.12 MONDAY COM LTD

AI summary

Systems, methods, and computer-readable media for self-monitoring software usage to optimize performance are disclosed. The systems and methods may involve at least one processor configured to: maintain a table; present to an entity a plurality of tools for manipulating data in the table; monitor tool usage by the entity to determine at least one tool historically used by the entity; compare the at least one tool historically used by the entity with information relating to the plurality of tools to thereby identify at least one alternative tool in the plurality of tools whose substituted usage is configured to provide improved performance over the at least one historically used tool; and present to the entity during a table use session a recommendation to use the at least one alternative tool.