Networking Analysis Platform for Event Connection Scoring
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Solution Overview
Problem
Organizations lack a computer-based technique to objectively assess the effectiveness of networking events in generating connections and leads, relying on inefficient manual assessments that are prone to inaccuracies.
Innovation Solution
A networking analysis platform that processes data on connections and interactions among attendees using text and audio processing techniques to determine a score indicating the event's success, enabling automated analysis and resource-efficient evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual assessment methods are used to evaluate event effectiveness, then human judgment and flexibility are maintained, but accuracy and objectivity deteriorate due to proneness to inaccuracies
Solution Approach 1:
The patent replaces manual human assessment with an automated computer-based system that processes event data objectively. The system uses automated techniques to analyze connections and interactions without human intervention, eliminating subjective biases and inaccuracies inherent in manual evaluation methods.
Solution Approach 2:
The system enables self-assessment by automatically processing event data and generating effectiveness scores without requiring human evaluators. The computer-based technique independently analyzes the data and produces objective results, making the assessment process self-sufficient and eliminating reliance on human judgment.
2Measurement precision
If comprehensive data processing techniques are implemented to analyze connections and interactions, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent divides the complex analysis task into distinct processing stages: receiving event data, processing information using multiple techniques, identifying connections and interactions, and determining effectiveness scores. This segmentation allows each component to handle specific aspects of the analysis, managing overall system complexity through modular architecture.
Solution Approach 2:
The system introduces an intermediary processing layer that receives raw event data and transforms it into structured information about connections and interactions. This intermediary layer uses multiple processing techniques to bridge the gap between raw data and final assessment scores, simplifying the overall system architecture while maintaining analytical depth.
3Productivity
If automated processing of event data is implemented, then productivity improves through efficient resource use, but loss of information may occur during automated analysis
Solution Approach 1:
The system incorporates feedback mechanisms that continuously refine the processing of event data. By analyzing connections and interactions through multiple techniques and iteratively improving the effectiveness score calculation, the system ensures that valuable information is preserved and utilized to enhance assessment accuracy while maintaining high processing efficiency.
Data Source
AI summary
A device may receive information related to connections between two or more attendees of an event or subsequent interactions between the two or more attendees. The device may process the information using a set of techniques to permit an analysis of the connections and the subsequent interactions. The device may determine a score related to the event based on a result of analyzing the connections and the subsequent interactions. The score may indicate a level of success of the event with respect to the connections or the subsequent interactions. The device may perform an action based on the score.