Group Orchestration Engine for Event Coordination
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Solution Overview
Problem
Current communication platforms are ineffective for coordinating complex events with multiple participants, as they lack automation and scalability, leading to manual management and loss of contextual information in group interactions.
Innovation Solution
A group orchestration engine that enables intelligent and automated coordination of events with features like task creation, sharing, confirmation, and execution, supporting both synchronous and asynchronous interactions, and incorporating structured and unstructured data, along with machine learning for personalized communication and task management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional communication platforms (email, text, voice calls) are used for group coordination, then individual communication flexibility is maintained, but effectiveness deteriorates as group size and task complexity increase
Solution Approach 1:
The system segments group coordination into discrete tasks with assigned owners and participants. Each task represents a specific unit of work with defined responsibilities, deadlines, and status tracking. This segmentation allows complex group coordination to be broken down into manageable units that can be tracked and managed individually, improving effectiveness as group size increases.
Solution Approach 2:
The patent introduces an automated coordination system that acts as an intermediary between group members. This system automatically sends reminders, tracks task status, notifies participants of updates, and manages communication workflows. The intermediary handles the manual coordination burden, allowing group members to focus on their actual tasks while maintaining communication flexibility through the automated platform.
2Device complexity
If manual task management is used with a primary coordinator, then centralized control is achieved, but scalability deteriorates as the number of tasks and participants increase
Solution Approach 1:
The system dynamically adapts its coordination structure based on task complexity and group size. For simple tasks, a single coordinator suffices, but as complexity increases, the system automatically distributes coordination responsibilities to task owners and involves relevant participants in status updates and decision-making. This dynamic adjustment allows the system to scale from small simple groups to large complex projects without requiring a proportional increase in manual coordination overhead.
Solution Approach 2:
Task owners and participants are empowered to self-manage their assigned tasks without requiring constant coordinator intervention. The system provides automated reminders, status tracking, and notification mechanisms that enable participants to independently monitor and update their work. This self-service capability reduces the coordination burden on central organizers and allows the system to scale to larger numbers of tasks and participants.
3Productivity
If asynchronous communication methods are used, then participant scheduling flexibility is improved, but contextual information and emotional nuance are lost
Solution Approach 1:
The system merges asynchronous task management with synchronous communication capabilities within a unified platform. Participants can update task status asynchronously at their convenience, but the system also provides real-time notification mechanisms, chat functionality, and video conferencing integration when immediate interaction is needed. This combination preserves scheduling flexibility while recovering contextual and emotional information through on-demand synchronous communication.
Solution Approach 2:
The system implements multiple feedback loops that provide contextual information alongside asynchronous updates. When participants submit task updates, the system automatically notifies relevant stakeholders, who can then provide immediate feedback through the platform. This feedback mechanism restores the contextual exchange typically lost in asynchronous communication, allowing participants to clarify intentions, discuss challenges, and maintain emotional connection despite not being present simultaneously.
4Loss of information
If synchronous interaction methods are used, then real-time context sharing is achieved, but availability requirements and dominant participant issues increase
Solution Approach 1:
The system prepares contextual information in advance through detailed task descriptions, predefined goals, and structured update templates. Participants receive comprehensive context before synchronous interactions occur, reducing the need for extended real-time discussions. This preliminary preparation allows synchronous meetings to be more efficient and focused, reducing the time commitment required while maintaining full contextual information sharing.
Data Source
AI summary
An event orchestrator that enables one or more users to simply and efficiently plan, create and execute a group event through automated and intelligent group interaction where a group interaction is one or more action between two or more members of the group including making a decision, sharing information, developing a plan, sharing state information, providing assistance via reminders, coordinating logistics, confirming a task, approving an action, etc. The group orchestration engine enables one or more users to use intelligence to manage and automate communication workflow between all of the participants to ensure that each is aware of their individual responsibilities, the timing and location of the event/task, the status of each task and status of each individual (location, completion of responsibilities, timely reminders to those involved, etc.). The system provides both open and closed loop management of each task and provides for state based automated reminders to individual participants.