Hi, love seeing detailed analysis! This helps share learnings and insight back to the Collective, and I hope it sets a precedent for other teams & projects to follow. Thereâs so so so much left to uncover and explore.
Adding the tag âprogram-analysisâ for all similar posts would be helpful so we can all filter easily
A few comments & tactical questions:
- It would be helpful to share query / data source links under the charts so we can evaluate ourselves.
- For non-standard metrics (i.e. âvalue createdâ) it would be helpful to define how this is calculated up front. (i.e. What does âvalue createdâ mean? Is this DEX Trading Fees, other Bribes, both, something else?)
- Seeing metrics on âProtocols Onboardedâ is super useful. The measure is fairly straight forward here, but for other programs, it would be great to test methods for âhow did this program help provide value to the overall ecosystem/collectiveâ versus just focusing on each app individually (which is how weâve measured in the past).
- Also a fan of calling out how efforts beyond issuing OP rewards had an impact. One of our early hypothesis from a prior update was around âRewards alone likely lead to high churn. Rewards + Product Development / Improvements may lead to better retention.â So it would be awesome to see similar insight into this for future updates from other teams.
- Clear accounting of where the OP has been used is also a great precedent. This is so hard to track without the context of each program (and the teams have the context).
Thanks for making the post and setting an example on insight sharing! Definitely want to encourage others to do the same.
Were there any takeaways that you didnât know/expect that you all discovered while putting this analysis together? Iâve found that writing/presenting things helps uncover things that âstaring at numbersâ doesnât.