I enjoyed working on the methodology for a list. Not sure if they are going to be public so I’ll leave out the results, but sharing the methodology for discussion:
mel.eth’s Applied Governance Efficacy Allocation Framework (Methodology and NOFM Matrix)
About
This list encompasses the application of the following methodology as conceived and applied by mel.eth as could best be derived from the 104 Collective Governance related applications reviewed. The focus is on PEOPLE: those that create governance communities and those that create accretive participation, via same. When unsure, I remained OPTIMISTIC about the prospect of the applicant.
Impact Evaluation
Of the 104 categorical applicants, 3 categories and 7 data points were used to obtain seven (six funded and one unfunded) discrete amounts, one for each applicant.
Categories:
- Contributors were assessed along the lines of ONE (creator or company), FEW (team or DAO), MANY (collective or delegation)
- Beneficiaries were assessed along the lines of Few (small delegations or DAOs) and Many (other builders and users)
- Good Governors were assessed as Yes (likely to vote with or delegate OP tokens) or No (not likely to actively govern with OP tokens or no retro OP/Governance contribution highlighted in application)
Matrix {CONTRIBUTORS}:{Beneficiaries} with values used:
Distribution of Weights
| None | One | Few | Many | |
|---|---|---|---|---|
| NONE | 0 | 0 | 0 | 0 |
| ONE | 0 | 0 | 0.075 | 0.100 |
| FEW | 0 | 0 | 0.125 | 0.175 |
| MANY | 0 | 0 | 0.200 | 0.325 |
Total weight check: 1.0
*Good Governor (GG) Multiplier Y/N: [1,0]
Value assigned by characterizing each applicant, thence [{NOFM}:{nofm}]*{GG}. Once obtained, all available OP tokens were allocated among the 91 / 104 applicants that had non-zero allocations.
It has been my pleasure to contribute here; best efforts were made, thank you and good hunting.
mel.eth http://themelv.in