AI Ideation Session Templates for Adaptive Online Facilitation

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Solution Overview

Problem

Organizing and facilitating ideation sessions in online meetings is often challenging due to the lack of structured processes and real-time adaptation to participant needs, leading to inefficiencies in idea generation and resource consumption.

Innovation Solution

A data processing system utilizing a language model to automatically generate and facilitate an ideation session agenda based on meeting information, incorporating a virtual meeting assistant that provides real-time guidance and interaction through a collaboration tool, adapting to participant engagement and content needs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual facilitation of ideation sessions is used, then participant engagement and adaptability are improved, but time consumption and resource expenditure increase

Engineering Contradiction:

Improveadaptability to participant needsVSAvoidtime for organizing and facilitating

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system enables self-service by allowing the ideation session to automatically adapt to participant needs through AI-driven analysis of meeting data, eliminating the need for manual facilitation while maintaining high adaptability to participant engagement patterns and content requirements

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops where meeting data is analyzed in real-time to adjust the ideation session agenda and facilitation style, enabling dynamic adaptation to participant needs without manual intervention while optimizing time utilization

Inventive Principle:

Principle #23Feedback

2Ease of manufacture

If structured processes are implemented, then ideation session organization is improved, but creativity and improvisation are reduced

Engineering Contradiction:

Improveorganization of ideation sessionVSAvoidability to improvise and adjust

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system applies dynamics by implementing a flexible structured process where the agenda and facilitation approach automatically adjust based on real-time analysis of participant engagement and meeting content, combining organizational structure with dynamic adaptability to maintain both order and creativity

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes key parameters of the ideation session structure dynamically based on meeting data analysis, adjusting agenda items, facilitation style, and interaction patterns to balance organization with creative improvisation according to actual participant needs

Inventive Principle:

Principle #35Parameter changes

3Productivity

If AI-driven automation is used, then time efficiency and resource optimization are improved, but system complexity increases

Engineering Contradiction:

Improveideation session efficiencyVSAvoidsystem structure for automated facilitation

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system achieves multi-functionality by using a single AI-driven platform to perform multiple tasks including agenda generation, participant engagement analysis, real-time adaptation, and session facilitation, improving efficiency while managing complexity through consolidation of functions

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an AI intermediary layer that simplifies the complexity of automated facilitation by providing high-level abstraction and automation while maintaining manageable system architecture through intermediate processing layers that bridge meeting data and facilitation actions

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250373458A1Artificial intelligence driven leading and templatizing of ideation session

Publication Date: 2025.12.04 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

A data processing system implements detecting an occurrence of a trigger condition during an online meeting among a plurality of client devices associated with participants of the session, the occurrence of the trigger condition indicating that an ideation session for collecting ideas from the participants should be initiated; selecting an ideation session template based on meeting information associated with the online meeting, each ideation session template comprising a natural language prompt template that includes instructions to a language model to generate an agenda for a specific type of ideation session and to conduct the ideation session according to the agenda; constructing a prompt based on the natural language prompt template of the ideation session template; and providing the prompt as an input to the language model to cause the language model to generate the agenda for the ideation session and conduct the ideation session according to the agenda.