Task Context Linking via Resource Node Analysis
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Solution Overview
Problem
Tasks are often assigned with insufficient context, leading to time-consuming efforts by task assignees to gather relevant information, resulting in misunderstandings and incomplete task completion according to the assignor's intent.
Innovation Solution
A system and method for dynamically linking tasks and resources by analyzing task assignment resources and categorizing them into context groups (associated parties, locational, temporal, and topical) to identify relevant resource nodes, which are then displayed to task assignees via a graphical user interface, providing contextual information and links to aid in task completion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tasks are assigned with minimal information via email or comments, then the task assignment process is quick and simple, but task assignees must spend excessive time manually gathering contextual information and misunderstandings occur
Solution Approach 1:
The system performs preliminary action by automatically gathering and organizing contextual information related to tasks before assignment. Resource nodes are pre-linked to task assignment resources based on contextual analysis, so when a task is assigned, the contextual information is already prepared and available to the assignee, eliminating the need for manual information gathering.
Solution Approach 2:
The system introduces an intermediary mechanism - a contextual information system that analyzes task assignment resources, identifies relevant resource nodes, and presents them to assignees. This intermediary automatically connects assignees with necessary contextual information, replacing the manual process of searching and requesting information.
2Reliability
If manual information gathering strategies are used by task assignees, then no additional system complexity is introduced, but misunderstandings regarding task scope occur and tasks are not completed according to assignor intent
Solution Approach 1:
The system enables self-service by automatically analyzing task assignment resources and identifying relevant contextual information without requiring human intervention. The contextual analysis and resource node identification are performed autonomously by the system, providing reliable contextual information to assignees without adding manual complexity to the process.
3Ease of operation
If contextual information is not provided with task assignments, then the task assignment process remains simple, but task assignees must email assignors for additional information causing delays
Solution Approach 1:
The system applies segmentation by breaking down contextual information into discrete resource nodes that are separately identified and linked to task assignment resources. Each resource node represents a distinct piece of contextual information (documents, communications, other tasks), making the information structured and easily accessible without complicating the overall assignment process.
Data Source
AI summary
In non-limiting examples of the present disclosure, systems, methods and devices for linking tasks and resources are provided. A plurality of attributes associated with a task resource may be analyzed. A plurality of contexts that are associated with the plurality of attributes may be determined and the plurality of attributes may be classified into one or more contextual groups. At least one resource node related to the task resource may be identified, the at least one resource node having a plurality of identified attributes sharing at least two contexts associated with the plurality of attributes that are associated with the task resource. An actionable link to at least one resource corresponding to the at least one identified resource may be displayed.