Please describe your proposed solution
<u>a. Methodology:</u>
The methodology will focus on collecting and analyzing off-chain data to evaluate the effectiveness of Catalyst’s fund allocation, project execution, and long-term sustainability.
- The research will involve both qualitative and quantitative data analysis, leveraging community feedback, project reports, and institutional partnership data. The study will be divided into key sections, each designed to address specific off-chain factors influencing project outcomes.
- The research shall be carried out in the form of case-studies by the category of projects. The case-studies shall be published on on-going basis, providing a good margin for feedback and improvement.
- Qualitative Interviews: Conduct interviews with key stakeholders (developers, community members, and institutions) to gather feedback on project performance and sustainability.
- Quantitative Data Analysis: Analyze data related to project funding, progress, and success rates to identify trends and inform future funding strategies.
<u>b. Sections for Analysis</u>
<u>Section B1: Fund Allocation Distribution</u>
Objective
Evaluate the distribution of Catalyst funds across different project types and sizes to assess alignment with strategic goals. This will help identify patterns in funding allocation and determine if resources are being distributed equitably to support a balanced ecosystem growth.
Data Points Needed
- Fund Allocation Per Project: Amount of funding distributed to each project.
- Project Classification: Categorization of projects (e.g., infrastructure, community) to analyze fund allocation by type.
- Project Size: Categorization of projects as small, medium, or large to evaluate distribution by size.
Metrics to Aim For
- Allocation Proportions by Project Type and Size: Measure how funds are allocated across different project types and sizes.
- Alignment with Cardano Ecosystem Goals: Assess whether the allocation supports ecosystem priorities and strategic objectives.
Data Source
Catalyst fund allocation reports.
Dependencies
Integration of fund allocation records with project classification data for accurate analysis.
<u>Section B2: Project Success Rates</u>
Objective
Analyze the success rates of projects based on deliverables, community impact, and support received. This will help identify which factors contribute most to successful project completion.
Data Points Needed
- Number of Projects Meeting Deliverables: Track projects that have achieved their stated goals and deliverables.
- Community Feedback on Performance: Collect feedback from the community on project impact and outcomes.
- Ecosystem Support Provided for Projects: Data on support (e.g., partnerships, mentorship) that projects received during their execution.
- Delivery Timelines and Dependencies: Monitor project delivery timelines and any dependencies that may have influenced project outcomes.
Metrics to Aim For
- Success Rates by Project Size and Type: Measure success rates for different categories and sizes of projects.
- Impact of Ecosystem Support on Success: Assess how support mechanisms contribute to project success.
Data Source
Catalyst project reports, community feedback platforms, and Catalyst milestone tracking data.
Dependencies
Access to project data and community feedback to evaluate project outcomes accurately.
<u>Section B3: Sustainability of Funded Projects</u>
Objective
Track the long-term sustainability of funded projects to assess their continued impact on the Cardano ecosystem. This analysis will help understand whether projects are capable of maintaining operations and delivering value over time.
Data Points Needed
- Quarterly Tracking of Projects Post-Funding: Monitor projects at regular intervals to check their status and performance.
- Sustainability Challenges: Identify issues such as scalability, funding gaps, and operational challenges that affect long-term sustainability.
Metrics to Aim For
- Percentage of Projects Operational After One Year: Determine the proportion of projects still active after one year.
- Key Challenges Affecting Long-Term Success: Identify challenges that may hinder the sustainability and success of projects.
Data Source
Catalyst project tracking data.
Dependencies
Collaboration with project teams and access to long-term tracking mechanisms.
<u>Section B4: Community Engagement</u>
Objective
Evaluate the impact of community participation on project success. This analysis will help understand the role of community support in driving positive project outcomes and ecosystem growth.
Data Points Needed
- Forum Participation and Community Sentiment: Measure engagement and sentiment through community forums and discussions.
- Social Media Engagement: Analyze social media interactions related to projects to gauge broader community interest.
Metrics to Aim For
- Engagement Levels: Measure forum participation and overall sentiment.
- Correlation Between Engagement and Project Success: Determine the relationship between community engagement and successful project outcomes.
- Community Ownership Analysis: Evaluate the role of community ownership and its correlation with project engagement.
Data Source
Community forums, social media data, and Catalyst community engagement records.
Dependencies
Access to community engagement data and integration with project metrics.
<u>Section B5: Progression from Idea to Product</u>
Objective
Track project progression from the idea phase to MVP and full product to identify potential bottlenecks and improvement areas in the development lifecycle.
Data Points Needed
- Project Progression Data: Data on project progress through stages (idea, MVP, product).
- Time Taken for Each Development Phase: Track the time taken for projects to move through various stages.
Metrics to Aim For
- Percentage of Projects Progressing to MVP/Product: Measure the proportion of projects successfully moving from idea to MVP or full product.
- Average Time for Progression Between Phases: Identify delays and bottlenecks in project development.
Data Source
Catalyst project reports and collaboration with external partners.
Dependencies
Collaboration with Catalyst and project teams to access progression data and insights.
<u>c. Additional Metrics to Study depending on feasibility</u>
c1. Adoption Metrics: Adoption sentiment evolution wrt time of non native Cardano projects to deploy on the chain asking for a grant.