Collaboration Parameter Scoring for Targeted Influencer Messaging
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Solution Overview
Problem
Existing collaboration systems waste computing resources by broadcasting productivity messages to all users, as only a subset of high-productivity influencers are likely to take action, necessitating a method to identify and target communications to this specific group.
Innovation Solution
Collect collaboration events, transform them into numeric parameter values, and analyze these to identify key influencers, then send targeted communications only to this subset using a network model and communication processor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If productivity messages are broadcast to all users, then all users receive the communication, but computing resources are wasted since only certain influencers will take action
Solution Approach 1:
The patent applies local quality by differentiating user roles and sending targeted communications only to influencers who can drive productivity improvements. Instead of uniform broadcasting to all users, the system identifies specific users with high collaboration scores and directs communications only to them, making the communication strategy heterogeneous rather than homogeneous.
Solution Approach 2:
The patent implements partial action by sending communications to a subset of users (influencers) rather than all users. The collaboration score threshold filtering creates a partial set of recipients who are most likely to take action, avoiding the excessive resource consumption of universal broadcasting while maintaining sufficient coverage to drive organizational change.
2Quantity of substance
If communications are sent to all users, then comprehensive coverage is achieved, but resource efficiency decreases due to unnecessary processing for non-influencers
Solution Approach 1:
The patent changes the parameter of recipient selection from universal (all users) to selective (users above collaboration score threshold). By introducing the collaboration score as a filtering parameter, the system transforms the communication distribution from a quantity-focused approach to a quality-focused approach, improving resource efficiency while maintaining effective coverage.
3Loss of information
If broadcasting is used to ensure all users receive productivity messages, then message dissemination is complete, but computing resources are unnecessarily consumed
Solution Approach 1:
The patent extracts the essential function of communication delivery from the universal broadcasting approach and concentrates it on the influencer subset. By taking out the core objective (driving productivity through communication) and implementing it only through influencers, the system eliminates the wasteful component of broadcasting to non-influencers while preserving the essential information dissemination function.
Data Source
AI summary
Methods, systems and computer program products for recommending remediation actions to selected users of collaboration systems. Certain disclosed techniques commence upon observing user-to-object interactions and user-to-user interactions raised by users of a collaboration system. A first specialized data structure is populated with activity values that characterize user-to-object interactions raised by individual users. A second specialized data structure is populated with sharing values that characterize observed sharing events over shared content objects. The values of the first data structure are correlated to the values of the second data structure to calculate a total contribution amount for each of the users of the collaboration system. A small set of communication recipients is identified by ranking the individual users based on a calculated total contribution amount. To avoid wasteful messaging to all users of the collaboration system, messages are sent only to the small set of recipients. The messages contain recommended remediation actions.