Phase 1: Research and Development (Months 1-2)

- Conduct Initial Research: Gather detailed requirements from key stakeholders and analyze existing governance systems.
- Develop MVP (Minimum Viable Product): Create a basic version of GovGraph focusing on core features such as graph visualization of user relations, filtering, and search functionalities.
- User Testing and Feedback: Engage with a group of early adopters (Delegates, Developers, Citizens) to test the MVP and gather feedback for improvements.

Phase 2: Feature Enhancement and Optimization (Months 3-4)

- Implement Feedback: Refine and enhance the MVP based on user feedback, focusing on usability improvements and additional features such as dynamic dispersion and color-coded connections.
- Expand Data Sources: Integrate additional data sources, including mainnet/testnet attestations and POAPs, to enrich the graph.
- Develop Advanced Analytics: Incorporate advanced analytics to identify governance attacks, voting patterns, and influence clusters.

Phase 3: Deployment and Scaling (Months 5-6)

- Rollout to Broader Audience: Launch GovGraph to a wider audience within the Optimism and broader Superchain ecosystem.
- Monitor and Iterate: Continuously monitor the system’s performance and user engagement, iterating on the product based on ongoing feedback.
- Establish Key Partnerships: Form strategic partnerships with other projects and organizations to enhance data integration and expand GovGraph’s impact.