Notification Priority Scoring for Team Workflow Efficiency
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Solution Overview
Problem
Current intelligent activity feed systems do not consider dependency relationships between tasks when prioritizing notifications, which can lead to inefficiencies in team workflows as tasks are not optimized for collective efficiency.
Innovation Solution
A system that determines collaboration priority scores for notifications by considering not only parameters related to individual tasks but also those tasks with dependency relationships, using a trained machine learning model or algorithm to rank notifications based on their significance to the collective efficiency of a team.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If notifications are prioritized based on individual task parameters only, then individual task responsiveness is improved, but team workflow efficiency deteriorates due to ignoring dependency relationships
Solution Approach 1:
The patent merges individual task parameters with team dependency parameters into a unified priority scoring system. The collaboration priority score combines factors like individual task urgency with team-wide dependency relationships, allowing notifications to be ranked based on both individual and collective efficiency considerations simultaneously.
Solution Approach 2:
The priority scoring mechanism serves multiple functions: it ranks notifications for individual users while simultaneously optimizing team workflow coordination. The same scoring system evaluates both individual task importance and team dependency context, making the system universally applicable to both individual and collective productivity goals.
2Productivity
If notifications are sorted by individual task importance, then individual user efficiency is improved, but overall team completion time increases due to uncoordinated task handling
Solution Approach 1:
The system performs preliminary analysis of task dependency relationships before presenting notifications to users. By pre-calculating collaboration priority scores that incorporate team workflow context, the system prepares optimized notification sequences in advance, allowing users to handle tasks in an order that minimizes team completion time without requiring real-time coordination.
Solution Approach 2:
The priority scoring system incorporates feedback from team dependency relationships into individual notification rankings. When a task's priority is determined, the system considers feedback from related tasks in the team workflow, adjusting individual task priorities to reflect their impact on overall team completion time.
3Productivity
If the system considers dependency relationships between tasks, then team workflow optimization is improved, but system complexity increases due to additional analysis requirements
Solution Approach 1:
The patent transforms complex dependency relationship analysis into a simplified parameter-based scoring system. By converting multi-factor dependency considerations into a single collaboration priority score parameter, the system maintains team workflow optimization capabilities while reducing computational and operational complexity.
Data Source
AI summary
A method, which may be performed by a computing system, involves determining that a plurality of notifications, including a first notification, is to be sent to a first client device, the first notification indicating a first task that is to be performed with respect to a resource accessible to the computing system; determining that a second task has a dependency relationship with the first task; determining at least one first parameter relating to the first task and at least one second parameter relating to the second task; determining, based at least in part on the at least one first parameter and the at least one second parameter, a first priority score corresponding to the first notification; and causing the plurality of notifications to be presented by the first client device in an order that is determined based at least in part on the first priority score.