Hi all,
another request which could change things for GPT and make it the most loved GPT …
Feature Request: Transparent Collaboration on New GPT Features with Voting and Categorization via GPT-Chat
Summary
Enable a structured and transparent collaboration framework within GPT-Chat where users can propose, discuss, prioritize new features, and vote on them while considering account details and location/country categorization for more granular insights.
Problem Statement
Currently, users have limited visibility into how feature requests are evaluated and prioritized. There is no structured mechanism to:
Track the status of feature requests
Provide direct input on priorities
Collaborate on refining feature ideas with the GPT team
Understand which features are under development
Consider demographic data (like account type and location/country) in the voting process to reflect regional or user-group-specific needs
Proposed Solution
Integrate the Feature Collaboration Platform directly into GPT-Chat, incorporating general voting and demographic categorization. This will include the following capabilities:
- Feature Request Submission within GPT-Chat
Users can submit structured feature requests directly through the chat interface, including:
Problem description
Proposed solution
Use case examples
Priority (e.g., critical, high, medium, low)
also expected impact might be a good attribute.
A simple command or interaction allows users to submit requests directly without leaving the chat.
GPT provides automatic status updates (e.g., “Request Submitted,” “Under Review,” “In Progress,” “Released”) directly in the chat interface.
Option for users to provide additional context or examples after initial feedback to refine ideas further.
Demographic Categorization: Users can optionally provide location/country information (or it can be auto-detected) to tailor features for specific regions or countries.
- Public Roadmap & Voting System within GPT-Chat
A transparent, in-chat roadmap where:
Users can ask for an updated list of all submitted feature requests.
Users can upvote or downvote requests using simple commands (e.g., “Upvote feature #45”).
Account-based voting: Users’ accounts are linked to votes, ensuring that each user can only vote once per feature request.
Location/Country Categorization in Voting: Votes are categorized by location/country, allowing the GPT team to analyze demand regionally. For example:
Global demand: Votes are aggregated from all users.
Regional demand: Votes are filtered by location/country to understand geographic preferences or needs.
GPT provides status updates on the progress of requests (e.g., “Under Review,” “In Development,” “Released”) directly within the chat.
Prioritization based on votes allows the GPT team to focus on the highest-impact features.
Users can filter features by categories such as usability, security, performance, and more.
- Community Discussion & Refinement within GPT-Chat
Each feature request can have a discussion thread directly in the chat, where:
Users can contribute feedback and ideas in an organized manner by replying to the feature request.
The GPT team can participate in the conversation, clarifying feasibility, gathering additional feedback, and providing insights into implementation.
Tags or keywords (e.g., “UX,” “performance”) are used to help structure discussions and make feedback easier to follow.
Location/Regional Specific Discussions: When submitting a request, users can engage in discussions based on their location or demographic preferences (e.g., “Is this feature relevant to the European market?” or “How can we optimize this for the US audience?”).
GPT can summarize the discussion and provide suggestions or ask follow-up questions to refine the ideas.
- Beta Testing & Early Access via GPT-Chat
Selected users can opt-in to test upcoming features directly through GPT-Chat, with:
GPT notifying users about new features available for testing.
Clear instructions and metrics for beta testing (e.g., “Please test stability and performance of feature X”).
Users can provide feedback via simple commands or direct messaging, and GPT can aggregate this feedback.
Location-based Testing: Beta tests can be tailored to specific regions or countries to evaluate how features perform in different environments or cultural contexts.
Insights from testing are shared with the community through GPT summaries or reports.
- Periodic Review & Reports within GPT-Chat
GPT will provide regular updates summarizing:
New feature requests received and community feedback.
Features under development and their status (e.g., “In Progress”).
Features released and their impact.
Rationale behind accepting or rejecting requests, directly shared with users.
Location-Specific Insights: Reports could include insights based on geographic demand and voting trends (e.g., “The most requested features in the EU market this quarter”).
GPT can host quarterly Q&A sessions where users ask questions about features and the development process.
Benefits
Increased Transparency: Users have full visibility into how features are prioritized and their status through a transparent, in-chat process.
Better Alignment: The GPT team can focus on the highest-impact features based on user feedback and geographic demand.
Stronger Engagement: Users are directly involved in the development process through chat-based submissions, voting, and discussions.
Granular Insights: Location/country-based categorization allows the GPT team to prioritize features that are most relevant to different user demographics.
Higher Quality Features: Real-time feedback and collaborative refinement of feature ideas ensure that features are well-aligned with user expectations and needs.
Implementation Considerations
GPT would need to incorporate structured feature tracking, voting, and demographic categorization within the chat interface, potentially using a command-based system for submissions and updates.
Location Detection: The system can either request users to opt-in for location sharing or automatically detect their location based on account settings.
Ensure GDPR compliance for user data, especially when handling location and demographic information.
Moderation tools will be required to maintain a constructive and focused environment within discussions.
Conclusion
By integrating the feature collaboration platform directly into GPT-Chat with a general voting mechanism and location/country categorization, users can seamlessly propose, discuss, and prioritize features while engaging in region-specific dialogues. This structure provides more personalized feedback and prioritization, ensuring the development process aligns with diverse user needs globally.
This approach allows for more granular insights into feature demand, ensuring that GPT can respond not only to global needs but also to regional preferences, which could be especially important in adapting features to different markets or use cases. Does this version meet your expectations?
other
Integrating a general voting mechanism with account and location/country categorization into the GPT-Chat feature request platform adds another layer of precision, ensuring that feature requests are prioritized not just by demand but also by user demographics. Here’s how we can revise the proposal to incorporate these aspects:
Feature Request: Transparent Collaboration on New GPT Features with Voting and Categorization via GPT-Chat
Summary
Enable a structured and transparent collaboration framework within GPT-Chat where users can propose, discuss, prioritize new features, and vote on them while considering account details and location/country categorization for more granular insights.
Problem Statement
Currently, users have limited visibility into how feature requests are evaluated and prioritized. There is no structured mechanism to:
Track the status of feature requests
Provide direct input on priorities
Collaborate on refining feature ideas with the GPT team
Understand which features are under development
Consider demographic data (like account type and location/country) in the voting process to reflect regional or user-group-specific needs
Proposed Solution
Integrate the Feature Collaboration Platform directly into GPT-Chat, incorporating general voting and demographic categorization. This will include the following capabilities:
- Feature Request Submission within GPT-Chat
Users can submit structured feature requests directly through the chat interface, including:
Problem description
Proposed solution
Use case examples
Priority (e.g., critical, high, medium, low)
A simple command or interaction allows users to submit requests directly without leaving the chat.
GPT provides automatic status updates (e.g., “Request Submitted,” “Under Review,” “In Progress,” “Released”) directly in the chat interface.
Option for users to provide additional context or examples after initial feedback to refine ideas further.
Demographic Categorization: Users can optionally provide location/country information (or it can be auto-detected) to tailor features for specific regions or countries.
- Public Roadmap & Voting System within GPT-Chat
A transparent, in-chat roadmap where:
Users can ask for an updated list of all submitted feature requests.
Users can upvote or downvote requests using simple commands (e.g., “Upvote feature #45”).
Account-based voting: Users’ accounts are linked to votes, ensuring that each user can only vote once per feature request.
Location/Country Categorization in Voting: Votes are categorized by location/country, allowing the GPT team to analyze demand regionally. For example:
Global demand: Votes are aggregated from all users.
Regional demand: Votes are filtered by location/country to understand geographic preferences or needs.
GPT provides status updates on the progress of requests (e.g., “Under Review,” “In Development,” “Released”) directly within the chat.
Prioritization based on votes allows the GPT team to focus on the highest-impact features.
Users can filter features by categories such as usability, security, performance, and more.
- Community Discussion & Refinement within GPT-Chat
Each feature request can have a discussion thread directly in the chat, where:
Users can contribute feedback and ideas in an organized manner by replying to the feature request.
The GPT team can participate in the conversation, clarifying feasibility, gathering additional feedback, and providing insights into implementation.
Tags or keywords (e.g., “UX,” “performance”) are used to help structure discussions and make feedback easier to follow.
Location/Regional Specific Discussions: When submitting a request, users can engage in discussions based on their location or demographic preferences (e.g., “Is this feature relevant to the European market?” or “How can we optimize this for the US audience?”).
GPT can summarize the discussion and provide suggestions or ask follow-up questions to refine the ideas.
- Beta Testing & Early Access via GPT-Chat
Selected users can opt-in to test upcoming features directly through GPT-Chat, with:
GPT notifying users about new features available for testing.
Clear instructions and metrics for beta testing (e.g., “Please test stability and performance of feature X”).
Users can provide feedback via simple commands or direct messaging, and GPT can aggregate this feedback.
Location-based Testing: Beta tests can be tailored to specific regions or countries to evaluate how features perform in different environments or cultural contexts.
Insights from testing are shared with the community through GPT summaries or reports.
- Periodic Review & Reports within GPT-Chat
GPT will provide regular updates summarizing:
New feature requests received and community feedback.
Features under development and their status (e.g., “In Progress”).
Features released and their impact.
Rationale behind accepting or rejecting requests, directly shared with users.
Location-Specific Insights: Reports could include insights based on geographic demand and voting trends (e.g., “The most requested features in the EU market this quarter”).
GPT can host quarterly Q&A sessions where users ask questions about features and the development process.
Benefits
Increased Transparency: Users have full visibility into how features are prioritized and their status through a transparent, in-chat process.
Better Alignment: The GPT team can focus on the highest-impact features based on user feedback and geographic demand.
Stronger Engagement: Users are directly involved in the development process through chat-based submissions, voting, and discussions.
Granular Insights: Location/country-based categorization allows the GPT team to prioritize features that are most relevant to different user demographics.
Higher Quality Features: Real-time feedback and collaborative refinement of feature ideas ensure that features are well-aligned with user expectations and needs.
Implementation Considerations
GPT would need to incorporate structured feature tracking, voting, and demographic categorization within the chat interface, potentially using a command-based system for submissions and updates.
Location Detection: The system can either request users to opt-in for location sharing or automatically detect their location based on account settings.
Ensure GDPR compliance for user data, especially when handling location and demographic information.
Moderation tools will be required to maintain a constructive and focused environment within discussions.
Conclusion
By integrating the feature collaboration platform directly into GPT-Chat with a general voting mechanism and location/country categorization, users can seamlessly propose, discuss, and prioritize features while engaging in region-specific dialogues. This structure provides more personalized feedback and prioritization, ensuring the development process aligns with diverse user needs globally.
This approach allows for more granular insights into feature demand, ensuring that GPT can respond not only to global needs but also to regional preferences, which could be especially important in adapting features to different markets or use cases. Does this version meet your expectations?