MVP Roadmap & Feature Prioritization
🎯 MVP Definition
Core Problem: AI practitioners can't organize, version, or test their prompts effectively
Must-Have Features: Prompt CRUD, Version control, Multi-model testing, Basic analytics, Export functionality
NOT in MVP: Team collaboration, advanced analytics, marketplace, VS Code extension
📊 Feature Prioritization Matrix
🏆 Top 10 Features by Priority Score
| Rank | Feature | User Value | Biz Value | Ease | Score | Phase |
|---|---|---|---|---|---|---|
| 1 | Prompt CRUD Operations | 10 | 10 | 8 | 9.4 | MVP |
| 2 | User Authentication | 8 | 9 | 9 | 8.7 | MVP |
| 3 | Basic Version Control | 9 | 8 | 7 | 8.1 | MVP |
| 4 | Multi-Model Testing | 9 | 9 | 5 | 7.9 | MVP |
| 5 | Export to Playground | 8 | 7 | 8 | 7.6 | MVP |
| 6 | Basic Analytics Dashboard | 7 | 8 | 6 | 6.9 | Phase 2 |
| 7 | Team Collaboration | 8 | 9 | 3 | 6.8 | Phase 2 |
| 8 | Advanced Search | 7 | 6 | 7 | 6.6 | Phase 2 |
| 9 | A/B Testing Framework | 8 | 8 | 2 | 6.4 | Phase 3 |
| 10 | API Access | 6 | 8 | 5 | 6.2 | Phase 3 |
🚀 Phased Development Roadmap
Phase 1: Core MVP (Weeks 1-8)
Objective: Build a functional prompt management tool that solves the core problem of prompt organization and basic testing. This phase focuses on individual user workflows and establishes the foundation for version control. The MVP will validate that AI practitioners find value in centralized prompt storage with simple testing capabilities across multiple LLM providers. Success means users actively store and iterate on their prompts rather than keeping them scattered across various tools.
| Feature | Priority | Effort | Week |
|---|---|---|---|
| User Authentication (Clerk) | P0 | 2 days | Week 1 |
| Database Schema + Supabase Setup | P0 | 3 days | Week 1 |
| Prompt CRUD Operations | P0 | 5 days | Week 2-3 |
| Basic Version Control (Git-like) | P0 | 4 days | Week 4 |
| Multi-Model Testing (OpenAI, Anthropic) | P0 | 6 days | Week 5-6 |
| Export to OpenAI Playground | P1 | 3 days | Week 7 |
| Basic UI Polish + Testing | P1 | 4 days | Week 8 |
Phase 2: Product-Market Fit (Weeks 9-16)
Objective: Validate core assumptions about user behavior and add monetization foundation. This phase focuses on retention optimization, user feedback integration, and payment infrastructure. We'll add analytics to understand which features drive engagement and implement the subscription model. The goal is proving users find enough value to pay for the service while building features that increase daily/weekly usage patterns.
| Feature | Priority | Effort | Week |
|---|---|---|---|
| Payment Integration (Stripe) | P0 | 4 days | Week 9-10 |
| Usage Analytics Dashboard | P0 | 5 days | Week 11-12 |
| Advanced Search & Filtering | P1 | 4 days | Week 13 |
| Prompt Templates & Variables | P1 | 3 days | Week 14 |
| Email Notifications & Onboarding | P1 | 3 days | Week 15 |
| Performance Optimization | P2 | 3 days | Week 16 |
Phase 3: Growth & Scale (Weeks 17-24)
Objective: Scale user acquisition through viral mechanics and team features. This phase introduces collaboration capabilities that drive organic growth and higher-value subscriptions. We'll add sharing features, team workspaces, and API access for power users. The focus shifts from individual productivity to team efficiency and building network effects that reduce churn and increase expansion revenue.
| Feature | Priority | Effort | Week |
|---|---|---|---|
| Team Workspaces & Sharing | P0 | 7 days | Week 17-18 |
| A/B Testing Framework | P0 | 6 days | Week 19-20 |
| Basic API Access | P1 | 5 days | Week 21-22 |
| Advanced Analytics & Insights | P1 | 4 days | Week 23 |
| Public Prompt Sharing (Beta) | P2 | 3 days | Week 24 |
⚙️ Technical Implementation Strategy
🤖 AI/ML Components
| Feature | Tool/API | Cost/100 calls |
|---|---|---|
| Prompt Testing | OpenAI API | $2.50 |
| Claude Testing | Anthropic API | $3.00 |
| Semantic Search | OpenAI Embeddings | $0.20 |
🔧 Low-Code Opportunities
Build MVP in 6 weeks instead of 9 weeks
📅 Development Timeline
🎯 Key Milestones & Success Metrics
Milestone 1: Technical Foundation (Week 2)
Milestone 2: Core MVP (Week 6)
Milestone 3: Beta Launch (Week 8)
⚠️ Risk Management & Contingencies
Contingency: Simplify multi-model testing to OpenAI only for MVP, extend timeline 2 weeks
Contingency: Switch to cheaper models or implement user API key option
Contingency: Pivot to browser extension for prompt capture, adjust positioning