Dynamic Survey Engine for Real-Time Webinar Adaptation
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Solution Overview
Problem
Conventional digital communication systems lack the ability to dynamically integrate various types of survey queries and respond to survey responses during online webinars, leading to inflexibility and reduced user engagement.
Innovation Solution
A dynamic survey engine that receives survey content and mapping from host user accounts, aggregates responses, identifies relevant keywords, and determines actions such as presenting subsequent survey queries or rescheduling webinar events based on user interests, enhancing user engagement by offering relevant content and scheduling adjustments in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional digital communication systems are used for webinars, then basic meeting functionality is provided, but dynamic survey integration and real-time response handling are lacking
Solution Approach 1:
The survey engine is nested within the digital communication system, with survey queries, responses, and actions integrated as layered components within the existing webinar framework. The survey mapping structure nests survey queries, possible responses, and corresponding actions in a hierarchical format that fits within the system's data structures.
Solution Approach 2:
The survey engine acts as an intermediary component between the webinar host and attendee user accounts. It receives survey content from hosts, processes responses from attendees, and implements actions that bridge user feedback with system responses, mediating the interaction without requiring complete system redesign.
2Productivity
If static webinar schedules are used, then simple event management is achieved, but user engagement and interest maintenance deteriorate
Solution Approach 1:
The system implements continuous feedback loops where survey responses from attendees are collected, processed, and used to dynamically adjust webinar schedules and content. The survey engine monitors user interests in real-time and feeds this information back to modify upcoming events, creating an adaptive system that responds to user needs.
Solution Approach 2:
The webinar schedule transitions from a static predetermined structure to a dynamic system that can be adjusted in real-time based on survey responses. The survey engine enables continuous modification of webinar timing, content, and sequencing based on aggregated user feedback, making the schedule adaptive rather than fixed.
3Adaptability or versatility
If generic survey queries are presented to all attendees, then uniform data collection is achieved, but personalized user experience and relevance are reduced
Solution Approach 1:
The survey engine delivers customized survey queries to different user accounts based on their specific interests, behavior patterns, and feedback history. Instead of uniform surveys, each attendee receives personalized survey content relevant to their local context and preferences, with the system adapting the survey mapping individually for each user.
Solution Approach 2:
The system dynamically changes survey parameters including which queries are presented, the timing of surveys, and the content focus based on aggregated response data. The survey mapping is adjusted by modifying parameters such as query selection, response options, and action triggers based on real-time analysis of user feedback patterns.
Data Source
AI summary
Various embodiments of an apparatus, method(s), system(s) and computer program product(s) described herein are directed to a dynamic survey engine the receives survey content and a survey mapping associated with a host user account(s) of a scheduled online webinar. The dynamic survey engine presents at least a portion of the survey content to one or more attendee user accounts. The dynamic survey engine aggregates survey response content received from one or more attendee user accounts. The dynamic survey engine identifies a dynamic survey action based at least in part on a portion of the survey mapping that is related to at least a portion of the aggregated survey response content.