AI Question Prompting for Social Group Engagement Bottlenecks
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Solution Overview
Problem
Social networks face low traffic and engagement in community-oriented groups due to lack of awareness and discovery challenges, with questions generating five times more comments than other posts, but users are unsure what questions to ask and lack a culture of asking.
Innovation Solution
A method using Generative Artificial Intelligence (GAI) to suggest relevant questions to users based on their skills and group associations, with post-processing to ensure appropriateness, and prompting users to post these questions in groups, followed by identifying experts to answer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users are encouraged to post questions in groups, then engagement and traffic increase, but users lack awareness of what questions to ask and cultural norms prevent asking
Solution Approach 1:
The system performs preliminary action by automatically generating relevant questions based on user profiles, group topics, and current discussions before users need to ask. These pre-generated questions are then presented to users as suggestions, eliminating the need for users to struggle with what to ask and immediately providing conversation starters that align with group norms and interests.
2Measurement precision
If AI generates questions for users, then question relevance and appropriateness improve, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary component - a natural language processing system - that acts as a mediator between user profiles/group contexts and question generation. This intermediary automatically analyzes user characteristics, group topics, and discussion patterns to generate contextually appropriate questions, thereby achieving high relevance without requiring complex manual curation or user effort.
3Productivity
If more questions are posted in groups, then traffic and user interaction increase, but users face discovery challenges and lack awareness of group activities
Solution Approach 1:
The system implements self-service by automatically generating and posting relevant questions to groups based on analyzed group topics, user interests, and discussion patterns. This automated question generation service operates without manual intervention, continuously providing fresh content that drives traffic and keeps users engaged while eliminating the need for users to manually discover group activities.
Data Source
AI summary
Methods, systems, and computer programs are presented for generating a question for a group and prompting the user to post that question. One method includes determining, for one or more groups of a user network, at least one group skill associated with the groups. A prompt is generated based on one or more user skills of a first user, including inserting at least one user skill into a prompt template to generate the prompt, where the prompt template includes a request to generate questions for the respective group. The prompt is provided as input into a generative artificial intelligence (GAI) model, a question is selected from the output of the GAI model, and a group is selected for based on the user skill inserted into the prompt template and the group skills associated with the groups. The selected question and the selected group are presented on a user interface.