Inspiration
Product management is often chaotic - endless customer feedback, conflicting priorities, and complex decision-making processes. We were inspired by the challenges we faced as product managers and developers, where valuable customer insights would get lost in the noise, and strategic decisions were often based on gut feelings rather than data.
The breakthrough moment came when we realized that modern AI could help transform this chaos into clarity. What if we could use AI to not just collect feedback, but to truly understand it, categorize it, and turn it into actionable strategies?
What it does
Resonate is an AI-powered product management suite that transforms customer feedback into strategic roadmaps. Key features include:
- Smart Feedback Analysis: Uses Google's Gemini AI to process and categorize customer conversations, extracting key themes and sentiments
- Strategic Planning: Automatically generates prioritized roadmaps based on customer needs, business value, and resource constraints
- Interactive Visualization: Provides multiple views (timeline, kanban, network graphs) to explore and manage the roadmap
- Resource Optimization: Analyzes team capacity and suggests optimal resource allocation
- Impact Analysis: Predicts potential impact of features on user satisfaction and business metrics
How we built it
We built Resonate using a modern tech stack focused on performance and scalability:
- Frontend: Next.js React, Tailwind CSS, shadcn/ui components
- AI Integration: Google's Gemini Pro for natural language processing and analysis
- Data Visualization: Recharts for interactive charts and graphs
- State Management: Server components and client hooks for efficient data flow
- Database: Prisma with PostgreSQL for reliable data storage
Challenges we ran into
Building Resonate wasn't without its hurdles:
AI Prompt Engineering: Crafting prompts that would consistently produce structured, actionable insights from varied customer feedback was particularly challenging. We went through multiple iterations to find the right balance. structured outputs came in handy, structured extraction too
Real-time Updates: Implementing real-time updates for collaborative roadmap management while maintaining performance required careful architecture decisions.
Data Visualization: Creating intuitive visualizations that could handle complex dependency relationships while remaining responsive on all devices took significant effort.
Schema Design: Designing a flexible yet structured database schema that could accommodate various types of feedback and analysis results required multiple iterations.
Accomplishments that we're proud of
Intelligent Analysis: Successfully implemented an AI system that can understand context and nuance in customer feedback, not just keywords.
Performance: Achieved excellent performance metrics even with large datasets and complex visualizations.
User Experience: Created an intuitive interface that makes complex product management tasks feel simple and natural.
Scalability: Built a system that can handle enterprise-level feedback volume while maintaining quick response times.
What we learned
This project taught us valuable lessons about:
- The importance of balancing AI capabilities with human insight
- Techniques for optimizing large language model responses for structured data
- Strategies for handling real-time updates in complex web applications
- The value of user testing in refining AI-driven features
What's next for Resonate
We're excited about the future of Resonate and have several enhancements planned:
Advanced Analytics
- Predictive success metrics
- Enhanced what-if analysis
- Pattern recognition for feature success prediction
Integration Capabilities
- Jira and Trello integration
- Slack and Microsoft Teams connectivity
- Custom data source support
Enhanced Visualization
- Enhanced collaboration features
AI Enhancements
- Multi-language support
- Custom training for industry-specific analysis
- Advanced sentiment analysis
We believe Resonate has the potential to revolutionize how product teams work, and we're just getting started!
Built With
- gemini
- nextjs
- postgresql
- prisma
- typescript
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