Introduction
Improve navigation and issue reporting in the ChatGPT Community Forum by refining categories, enabling multi-select tagging, enhancing search features, and introducing a structured reporting form.
- Hierarchical Categories & Drop-Down Subcategories
- API
- API Feedback, API Bugs, API Deprecations, API Rate Limits, API Fine-Tuning
- Inaccurate Response
- Problem/Puzzle: Maths, Physics, Chemistry, Biology, Multidisciplinary
- OCR & Visual Intelligence: Misreading Equations, Misunderstanding Charts/Figures
- Miscalculation: Correct method but wrong numerical answer
- Language Understanding, Factual Errors
Benefits: Precise categorization and easier topic discovery.
- Multi-Select for Subcategories
Allow tagging across multiple disciplines (e.g., thermodynamics issues can be tagged under both Physics and Chemistry).
Benefits: Enhances interdisciplinary problem-solving and reduces misclassification.
- Improved Search & Filters
- Search within Subcategories (e.g., “API Bugs”)
- Auto-Suggest Subcategories during searches
-Filters: Most Upvoted, Official Responses, Recent, Unresolved Issues
Benefits:Faster, more accurate issue discovery.
- Structured Reporting for Inaccurate Responses
Introduce a form with: - Prompt Box:(User’s prompt or visual data)
- ChatGPT’s Response Box:(Pre-filled)
- Correct Answer Box:(Expected response)
- Correct Steps Box: (Accurate parts of the response)
- Mistakes Only Box (Errors highlighted)
- Additional Notes(Optional)
Benefits: Clear error tracking and efficient feedback for targeted improvements.
Conclusion
These enhancements will streamline forum navigation, enable precise issue reporting, and improve feedback collection—benefiting both users and OpenAI.