Decision-Making Software Using Segmented Wheel Interface
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing problem solving tools are not specific to industry needs and dynamic environments, failing to provide mission-specific objectives and adaptable strategies, and often lack integration of industry best practices and feedback mechanisms.
Innovation Solution
A decision-making tool configured as a software application or physical embodiment, utilizing a wheel format to present customizable categories and parameters, facilitating command and control within a mission or objective, with features for training, feedback, and multi-user collaboration, and incorporating industry best practices and tactical worksheets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic problem solving tools are used, then broad applicability is achieved, but industry-specific needs and dynamic environment adaptability are lost
Solution Approach 1:
The decision-making tool is segmented into multiple customizable categories (e.g., tactical, operational, strategic) that can be tailored to specific industry needs. Each category contains adjustable parameters that can be modified to reflect dynamic environmental conditions, allowing the system to adapt without requiring complete redesign for each application context.
Solution Approach 2:
The tool incorporates dynamic parameters and categories that can be adjusted in real-time based on changing environmental conditions and industry-specific requirements. This dynamic structure allows the same base tool to adapt to different scenarios without increasing inherent system complexity.
2Measurement precision
If mission-specific objectives are provided, then decision-making precision is improved, but tool customization complexity increases
Solution Approach 1:
The tool provides pre-configured categories and parameters that are prepared in advance for common decision-making scenarios. Users can select from these pre-established frameworks and make minor adjustments rather than building decision structures from scratch, thereby achieving mission-specific precision without proportionally increasing customization complexity.
3Reliability
If feedback mechanisms are integrated, then decision-making reliability is improved, but system complexity increases
Solution Approach 1:
The tool incorporates feedback mechanisms that allow users to input outcomes and adjust parameters based on results. This feedback loop improves decision-making reliability by enabling continuous refinement of the decision framework while maintaining a relatively simple core structure through iterative improvement rather than complex pre-planning.
Data Source
AI summary
A decision making method configured to facilitate a decision process wherein the method of the present invention provides the ability for a user to progress through the decision making process in incremental layers. The present invention in its preferred embodiment is embodied in software application that is operable via a graphical interface presented to a user on a conventional computing device or as a software application on a mobile computing device. The method of the present invention includes the presentation of an inquiry wherein the inquiry answer is utilized to establish the scenario parameters for the desired outcome or objective. The present invention provides a repository of answers and of resources wherein the answers and resource selections provided are selected by a user in each incremental layer of the decision making process. The present invention provides categorization of each layer scenario and present answers and resources based on the categorization.