
I’ve just wrapped up the first phase of my research on applying causal analysis to evaluate the impact of funding for onchain projects. I had already shared the main research post, now I’m publishing a follow-up with: • Gaps in infra & best practices that are holding back more robust grant impact evaluation • Key learnings from interviews + the research process • Practical tips for data folks applying causal methods in this context • All queries used to access the data + the full analysis notebook If you’re working with grants, public goods funding, or onchain data, would love your thoughts. github.com/stefi-says/onc…























