Karma Automation and Program Improvement (CR & CP)
Hello everyone!
Over these months of experimentation, we’ve faced various challenges in order to enhance the performance of the delegate incentive program.
Motivated by the feedback from user @Cp0x, the SEED Latam team has held a meeting with the Karma team to address these concerns in the most efficient manner possible.
Karma Dashboard Communication Rationale Counting (CR)
We’ve noticed that not all delegates communicate their votes in the same way. While some use Communication Threads, others directly comment their vote in the proposal’s forum post.
Delegates are free to express their voting intentions the way they wish, but aiming to automate the process the Communication Thread is the most effective way to express Communication Rationale (as outlined in our FAQ and Best Practices thread). This way, Karma’s API can count CR in a more effective way.
Does this mean that if I don’t have a Communication Thread, my Communication Rationale won’t be counted? No. We will continue collecting data manually as we did during the test months, but this small action will greatly simplify the process.
Karma Dashboard Commenting on Proposal Counting (CP)
The second challenge we’re facing is tallying high-quality comments. Currently, Karma is working on integrating an AI that will assist in determining the quantity of high-impact comments present in each proposal of the month.
Note: High-level comments are those that contribute to the debate or enhance the quality of the proposal itself.
This AI is still in development and won’t be available during the first month of this program. Therefore, during this time, we will manually tally and evaluate relevant comments from each delegate.
SEED Latam Commitment
At SEED Latam, we’re collaborating with Karma to ensure the smooth functioning and evolution of the dashboard, enabling it to deliver the best possible performance for the delegate incentive program. Additionally, we’re continuously striving to enhance the program’s quality with collected feedback and our research efforts, aiming to establish it as a robust framework that can endure even beyond the experimentation period.
Our team will be working on gathering the necessary information to complete the Karma dashboard, which cannot yet be fully automated.