Virtual Meeting Question Grouping System for Presenter Efficiency
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Solution Overview
Problem
In virtual meetings and webinars, presenters face challenges in efficiently reviewing and addressing questions due to the lack of context and the inefficiency of answering questions one by one without knowing which questions are related.
Innovation Solution
A system that analyzes metadata associated with questions received during a virtual meeting, groups questions based on common content, and presents question topics to the presenter, allowing for efficient review and response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the presenter reviews questions one by one during the Q&A session, then the presenter can address each question individually, but the process becomes inefficient and time-consuming
Solution Approach 1:
The system merges multiple individual questions into grouped question sets based on their content similarity and context. Related questions are combined into a single presentation unit, allowing the presenter to address multiple questions simultaneously rather than one by one, thereby improving productivity and reducing time loss
Solution Approach 2:
The system introduces an intermediary processing layer that analyzes question content, metadata, and context to automatically group and organize questions before presenting them to the presenter. This intermediary function eliminates the need for manual sorting and organizing of questions by the presenter
2Ease of operation
If the presenter reviews questions at a later time point, then the presenter can avoid interruptions during the webinar, but the questions become difficult to understand due to missing context
Solution Approach 1:
The system performs preliminary actions by automatically capturing and storing relevant context information (speaker identity, topic, timing) at the moment questions are asked. This pre-processing of context data ensures that when the presenter reviews questions later, the necessary contextual information is already prepared and attached to each question
Solution Approach 2:
The system provides feedback by automatically enriching questions with contextual metadata and presenting organized question groups to the presenter. This feedback mechanism ensures that the presenter receives not just the question text but also the necessary context information, making late review feasible without losing understanding
3Loss of information
If the system provides detailed context for each question, then the presenter can understand questions better, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically extracting, analyzing, and organizing context information from the webinar stream. The system autonomously identifies relevant metadata, groups questions, and presents organized results without requiring manual intervention or complex user-configurable parameters, thereby reducing the perceived system complexity
Data Source
AI summary
Aspects described herein may allow for grouping questions received during a virtual meeting in order to present the questions to a presenter of the virtual meeting efficiently. A system may receive, during a virtual meeting, a plurality of messages each indicative of a question. The message comprises content descriptive of the question and metadata. For example, the metadata may comprise data identifying an image corresponding to the message. The system may group the plurality of messages into one or more groups, individual messages within the groups having a context in common with one another, by analyzing text and metadata of the message. The system may send data about at least one group to a first client device for output of the questions indicated by the messages of that group on the first client device.