Inspiration
Just like Lovable made web development effortless, I wanted to make product planning effortless. Product teams spend countless hours debating which features to build next, often relying on gut feelings rather than data. They struggle with complex feature decisions and missing context across their product ecosystem. I wanted to create an AI teammate that knows everything about your product and can help make these difficult decisions feel simple.
What it does
FeatureWise brings Lovable-style simplicity to product planning by acting as your knowledgeable AI teammate. Simply enter any Jira issue key, and FeatureWise provides:
- Effortless Analysis - Like Lovable's simple deployment, but for product decisions
- User Adoption Predictions - Will this feature actually get used?
- Time-to-Value Analysis - How quickly will this deliver ROI?
- Smart Implementation Plans - Ready-to-use tasks with story points
- Interactive AI Brainstorming - Collaborate on decisions like with a senior PM
- Contextual Intelligence - AI teammate who understands your entire product ecosystem
- One-Click Jira Integration - Instant task creation from recommendations
FeatureWise isn't just giving recommendations - you can brainstorm with it to refine decisions, understand product implications, and explore different approaches. It's like having an extra team member who knows everything about your product and is always available to help.
How we built it
- Atlassian Forge - Native Jira integration and secure hosting
- LLM-Agnostic Architecture - Currently OpenAI GPT-4, easily adaptable to any LLM
- React - Clean, responsive user interface optimized for product managers
- Conversational AI Architecture - Built for interactive brainstorming sessions
- Privacy-First Design - Users control their own API keys
- Extensible Integration Layer - Jira today, designed for Confluence and other services
- Modern UX - Professional design with loading states and real-time notifications
Challenges we ran into
- Performance Optimization - Keeping AI responses under Forge's 25-second timeout while maintaining quality insights
- UX Design - Making complex AI insights digestible and actionable for busy product managers
- Conversational Flow - Creating natural brainstorming interactions that feel like talking to a teammate
- Security Implementation - Building user-controlled API key management that's both secure and simple
- LLM Abstraction - Designing flexible architecture for multiple AI providers
- Context Management - Structuring AI responses for consistent, useful UI rendering
Accomplishments that we're proud of
- Working AI Predictions - Reliable analysis of real Jira issues with actionable insights
- Interactive Brainstorming - Successful conversational AI that refines recommendations through dialogue
- Professional UI - Clean, intuitive interface that product managers actually want to use
- Privacy Compliance - Comprehensive privacy policy and secure, user-controlled architecture
- Flexible Architecture - LLM-agnostic design ready for future AI providers
- Complete Integration - Seamless Jira workflow that fits into existing product processes
- Fast Performance - Optimized for quick decision-making without sacrificing depth
What we learned
- Forge Development - Building production-ready Atlassian apps with proper security and performance
- AI Integration - Creating LLM-agnostic architectures and optimizing prompts for consistent outputs
- Conversational UX - Designing AI interactions that feel natural and productive
- Product Management Workflows - Understanding the real pain points of feature decision-making
- Enterprise Security - Implementing privacy-first architecture that meets business requirements
What's next for FeatureWise
- Multi-Service Context - Confluence integration for complete product ecosystem awareness
- Advanced Brainstorming - Enhanced conversational AI with deeper product understanding
- Team Collaboration - Shared decision history and multi-PM brainstorming sessions
- Pipeline Intelligence - Complete feature and bug lifecycle management with AI insights
- Executive Reporting - Auto-generated stakeholder summaries and decision documentation
- Multi-LLM Support - Claude, Gemini, and other AI provider integrations for flexibility
Built With
- atlassian-forge
- github
- javascript
- jira
- llm-apis-(openai-gpt-4)
- node.js
- react
- rest
Log in or sign up for Devpost to join the conversation.