Network-Based Expert Information Distribution System
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Solution Overview
Problem
Current methods for identifying and sharing expertise within organizations are inefficient, as they rely on ad-hoc approaches like asking colleagues or using corporate knowledge systems, which fail to ensure the appropriate expert is found and waste resources, with information scattered and inaccessible.
Innovation Solution
A network-based system that records user profiles and generates perceivable stimuli and information based on query terms, allowing users to post queries and connect with others having relevant expertise, facilitating the creation of dedicated spaces for collaboration and information sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods (asking colleagues, corporate knowledge systems) are used to identify experts, then individuals can find some expert information, but the appropriate expert is not ensured and resources are wasted due to repeated searches
Solution Approach 1:
The system pre-generates perceivable stimuli (notifications, alerts, visual cues) that proactively draw user attention to relevant expert information and activity streams before users actively search. This preliminary action eliminates the need for repeated manual searches by pushing information to users based on their profiles and query terms.
Solution Approach 2:
The system implements feedback mechanisms where user interactions with expert information, activity streams, and query terms are tracked and used to refine future information distribution. This feedback loop ensures that the appropriate experts are identified by learning from past search patterns and user behavior, improving accuracy over time.
2Ease of operation
If information is distributed through scattered channels (e-mail, phone, face-to-face), then communication can occur, but information is not centrally stored and may not be accessible by appropriate people
Solution Approach 1:
The system merges multiple communication channels (e-mail, phone, face-to-face interactions) into a single centralized network platform. All expert information, activity streams, and user profiles are consolidated in one location, making information universally accessible to appropriate users while preventing information loss through centralized storage.
Solution Approach 2:
The network system provides universal access to all users, allowing any user to access any relevant expert information through a single interface. The system serves multiple functions simultaneously: storing information, distributing it, enabling communication, and tracking user interactions, eliminating the need for multiple separate communication channels.
3Productivity
If corporate knowledge systems are used, then some knowledge can be stored, but the system is ineffective because searches must be repeatedly performed by each individual
Solution Approach 1:
The system enables self-service through automated information distribution where perceivable stimuli automatically guide users to relevant expert information based on their profiles and query terms. Users do not need to actively search for information; the system serves them automatically, dramatically improving productivity while eliminating repeated search time.
Data Source
AI summary
Techniques for distributing information over a network having a database in data communication with said network include a method that records in the database a plurality of computer readable profiles. Each computer readable profile corresponds to one of multiple users of the network. One of the computer readable files includes a query term that is associated with it. Generated on a common user interface are both perceivable stimuli in response to activity on said network of users corresponding to subgroup of the plurality of computer readable profiles, and information corresponding to computer readable profiles of the subgroup. The corresponding users of the subgroup possess knowledge related to the query term. A region of the user interface in which the perceivable stimuli is present defines an activity stream region. A region of the user interface in which said information is present defines a connections region of the user interface.