Dynamic Task Management System with Deviation Feedback
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Solution Overview
Problem
Existing project management software lacks flexibility in managing task sequences and deviations, particularly across different platforms and environments, limiting its ability to adapt to changes and user feedback effectively.
Innovation Solution
A computer-implemented method and system that allows users to create goal and task objects, execute tasks, determine deviations, and add new task objects based on these deviations, enabling dynamic task management with features like delta tasks, user roles, and self-documenting capabilities, which incorporate feedback and adapt task paths dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional project management software uses fixed task sequences, then task management is simple and structured, but the system lacks flexibility to adapt to deviations and changes across different platforms and environments
Solution Approach 1:
The patent implements dynamic task management by allowing task sequences to be modified during execution. Users can add, remove, or reorder tasks based on actual deviations encountered, transforming the rigid fixed sequence into a flexible adaptive structure that responds to real-time conditions across different platforms and environments
Solution Approach 2:
The patent segments the task management system into independent task objects that can be individually manipulated. Each task is a discrete unit that can be added, removed, or modified without affecting the entire task sequence, enabling flexible reconfiguration while maintaining overall system structure through modular design
2Loss of information
If project management software stores only original task definitions, then the system is simple to maintain, but it cannot incorporate feedback and learn from user experiences across different environments
Solution Approach 1:
The patent implements feedback mechanisms that capture deviations and modifications made during task execution. This feedback is stored in the task library, allowing the system to learn from actual user experiences and environmental variations, continuously improving task definitions based on real-world performance data
Solution Approach 2:
The patent performs preliminary actions by pre-storing multiple task variations and platform-specific adaptations in the task library. When a task is executed, the system can automatically select or suggest appropriate variations based on the detected environment, reducing the need for manual feedback processing while maintaining comprehensive information
3Adaptability or versatility
If the system allows dynamic task modifications during execution, then task management becomes adaptable to real-world deviations, but tracking and managing these changes becomes more complex
Solution Approach 1:
The patent uses feedback loops to automatically track and detect deviations during task execution. The system monitors actual task performance against planned sequences, automatically identifying and recording deviations, which simplifies the tracking process while enabling comprehensive adaptability to real-world variations
Solution Approach 2:
The patent implements self-service mechanisms where the task management system automatically detects, records, and manages its own deviations without requiring external intervention. The system self-tracks execution status, automatically logs deviations, and manages task modifications, reducing the complexity of change tracking while maintaining high adaptability
Data Source
AI summary
An approach for an automated task management system to accomplish set goals by completing a predefined set of tasks for that goal is disclosed. The approach includes creating a goal object by one or more users and creating one or more task objects associated with the goal object by the one or more users. The approach includes executing a first task of the one or more task objects and determining if there is one or more deviations associated with executing the first task. Users can directly define deviations which are stored into the tasks directly as a deviation path without needing admin approval. Based on determining there is the one or more deviations, the approach can optionally ask for an approval from an administrator. Deviation tasks objects are stored into the goal object for future users to view and use.