- Dhruv
- Jan 7
- 3 min read
1. Executive Summary OrgGPT is an AI-powered platform designed to address the unique challenges faced by universities in providing instant, accurate, and specific answers to student queries. By centralizing university-specific information, automating repetitive tasks, and delivering actionable insights, OrgGPT enhances operational efficiency while elevating the student experience. This PRD outlines the vision, features, functionality, and roadmap required to launch OrgGPT successfully.
2. Objectives
Primary Goals:
Provide students and staff with a centralized, AI-powered platform for 24/7 access to university-specific information.
Reduce administrative workload by automating repetitive queries.
Enhance student satisfaction through instant and precise answers.
Deliver actionable insights to universities for improving operational efficiency.
Key Performance Indicators (KPIs):
40% reduction in repetitive staff queries.
90% query resolution accuracy.
Onboard 25 universities within the first year, targeting $375,000 ARR.
3. Target Audience
Primary Customers:
University administration teams, including admissions, academic advising, and student services.
End Users:
Students: For academic, event, and campus service inquiries.
Prospective Students: For program and application related information.
Faculty and Staff: For procedural and administrative guidance.
Alumni and Visitors: For event and networking information.
4. Functional Requirements
Core Features:
Custom AI Training:
AI models tailored to university-specific terminology, policies, and documents.
Integration with institutional databases, academic calendars, FAQs, and policy documents.
Real-Time Query Resolution:
Provides instant answers to a wide range of queries.
Links answers to their sources for transparency.
Self-Learning System:
Analyzes staff email responses (non-sensitive) to identify repetitive queries.
Updates the knowledge base dynamically to improve accuracy.
Includes privacy controls for staff to flag sensitive emails as non-trackable.
Analytics Dashboard:
Offers actionable insights into query trends.
Identifies gaps in existing resources or FAQs.
Behavioral Insights Engine:
Tracks user interactions to refine responses and recommend updates to universities.
Custom Branding:
Personalized interfaces (e.g., CornellGPT) to promote institutional identity.
Non-Functional Requirements:
Scalability: Ability to support up to 250 universities by Year 3.
Reliability: 99.9% uptime SLA.
Security: Compliance with FERPA and GDPR regulations.
Usability: User-friendly interface with a guided onboarding process.
5. Competitive Analysis
Key Competitors:
Google Search: Provides broad, general answers quickly and is widely accessible.
Limitations: Lacks institutional depth, offering generic or conflicting information for university-specific queries like CPT eligibility or prerequisites.
ChatGPT: Easy to navigate, provides conversational answers to general and academic questions.
Limitations: Doesn’t have access to institutional data, making responses unreliable for nuanced queries.
University Websites: Official source of information, covers all institutional policies and resources.
Limitations: Poor navigation and fragmented information make it hard for users to locate what they need quickly.
Chatbots: Predefined answers for FAQs, integrated into university websites.
Limitations: Limited scope, cannot address complex or cross-departmental queries, and often redirect users to human staff for unresolved issues.
Knowledge Portals (e.g., College Confidential, Niche, StudyPortals): Aggregate user experiences and reviews, provide comparative information across universities.
Limitations: Content is often outdated, subjective, or lacks verification, leading to trust issues.
OrgGPT Differentiators: 24/7 instant, reliable answers.
Centralized and official source of information.
Ease of navigation
Self-learning mechanism powered by staff email monitoring (with opt-out feature).
Comprehensive analytics for operational optimization.
6. Business Model
Revenue Streams:
Subscription Fees:
Annual fee: $10,000–$15,000 per university.
Setup Fees:
One-time integration cost: $5,000 per university.
Advertising Revenue (Future):
Promoting university events and external programs on the platform to balance revenue based on the amount of audience.
Premium Add-Ons:
Advanced analytics and extended AI functionalities.
7. Technical Requirements
Technology Stack:
Frontend: React.js for a dynamic user interface.
Backend: Python-based APIs for AI interactions.
AI Frameworks: OpenAI GPT models with custom training.
Database: PostgreSQL for structured data and Elasticsearch for query optimization.
Infrastructure: AWS for scalable cloud hosting and processing.
Integration Requirements:
Seamless connection with institutional databases and email systems.
Support for APIs to integrate with existing EdTech platforms like Canvas and Salesforce.
8. Privacy and Security
Data Protection:
Staff control over email monitoring with opt-out options.
Encryption of sensitive communications and stored data.
Regulatory Compliance:
Adherence to FERPA and GDPR standards.
Transparent usage policies to ensure trust.
9. Roadmap
10. Success Metrics
Operational Impact:
Reduction in staff time spent on repetitive queries (target: 40%).
90% query resolution accuracy.
Financial Growth:
Achieve $5 million ARR by Year 3.
User Satisfaction:
85% satisfaction rate among students and staff.
High retention rate of subscribing universities.
11. Risks and Mitigation
Risk: Resistance to AI adoption among staff.
Mitigation: Provide training and clear opt-out options for email monitoring.
Risk: Privacy concerns.
Mitigation: Ensure compliance with FERPA and GDPR; encrypt sensitive data.
Risk: Technical scalability issues.
Mitigation: Use modular architecture and scalable cloud infrastructure.
Conclusion OrgGPT is positioned to revolutionize university operations by addressing long-standing inefficiencies in information management and query resolution. This PRD provides a comprehensive foundation to guide the development, launch, and scaling of the platform, ensuring its success in meeting the needs of universities and their students.
