Task Prioritization Based on User Interest Indicators
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Solution Overview
Problem
Current methods for prioritizing tasks in companies fail to account for subjective user interest, leading to potential customer dissatisfaction and loss of business due to inadequate response to user-perceived task importance.
Innovation Solution
A method and system that prioritize tasks based on user interest by assigning an initial priority level, providing users with access to status information, and increasing task priority when users actively seek updates, incorporating factors like user importance and task identification methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If companies process tasks based on objective factors only, then resource allocation efficiency is improved, but customer satisfaction deteriorates due to ignoring subjective user interest
Solution Approach 1:
The patent changes the prioritization parameters from purely objective factors (cost, time) to include subjective user interest indicators (status page accesses, inquiry details). This allows the system to dynamically adjust task priority based on both resource constraints and user perception, resolving the contradiction between efficient resource allocation and customer satisfaction
Solution Approach 2:
The system implements feedback loops where user interactions (status page accesses, inquiries) are continuously monitored and fed back into the prioritization algorithm. This feedback mechanism enables the system to adapt task priorities in real-time based on actual user interest, maintaining both operational efficiency and customer satisfaction
2Ease of operation
If companies address all tasks equally, then fairness is improved, but task completion efficiency deteriorates due to lack of prioritization
Solution Approach 1:
The patent introduces dynamic prioritization where task importance is not fixed but changes based on user behavior indicators. Tasks are re-ranked continuously as users interact with status information, allowing the system to maintain fairness while adapting to changing user needs and improving overall task completion efficiency
3Reliability
If companies use detailed subjective prioritization, then customer satisfaction is improved, but system complexity increases due to multiple prioritization factors
Solution Approach 1:
The system uses user-generated data (status page accesses, inquiry patterns) to automatically determine prioritization weights without requiring manual input from users. This self-service approach captures subjective user interest while keeping the system relatively simple, as the complexity is inferred from natural user behaviors rather than explicit user input
Data Source
AI summary
Systems, methods and computer readable media are disclosed for prioritizing tasks associated with a group of users based on number of times the users have monitored the status of a task. In addition to the general system, systems, methods and computer readable media for task prioritizing, the tasks may be prioritized based on the number of users associated with a task, the importance of each user associated with a task, and the way the task was identified.