Fund 8 Challenge Setting Report
George Lovegrove
Issues that were identified
Assessment approach for challenges needs improvement - The information for challenge assessment guidance is limited and is of low quality. As one example, assessments penalize proposals that do not have a fully formed challenge team at the point of submission even though the team can be formed at any stage after they are voted in.
Duplicated challenge settings - Products & Integrations was copied into a separate proposal called DApps, Products & Integrations. This increased complexity for the voters in how they should vote to get their desired outcome. Duplicated categorisations lead to potential situations where neither challenge gets funded or both do. In this instance both got funded and the categorisations got merged.
Overlapping categorisations - Overlapping categorisations add complexity for proposers when submitting proposals as they must decide between multiple categorisations. Voters have higher complexity when similar proposals are submitted in separate categorisations.
Observations
Little to no funding access for some focus areas - Community & outreach and Catalyst focussed proposals saw either little or no access to funding for fund 9.
Overlapping categorisations - Examples include 14 overlapping product & integration categorisations, 12 overlapping outreach categorisations, 12 overlapping community categorisations and 9 overlapping Catalyst categorisations amongst others
19 broad categorisations and 53 specific categorisations were submitted
Data & statistics
Number of challenges proposed
67
76
Number of challenges funded
22
12 (11 after two merged)
Highest upvote ADA amount on a challenge
₳222,760,136
₳175,986,427
Highest number of wallet votes on a challenge
1321
1190
Funding categories as an alternative
Analysis has continued on funding categories as an alternative approach to funding categorisation - https://docs.catalystcontributors.org/funding-categorisation-analysis/
Fund 8 challenge settings led to selected categorisations for fund 9 that had very high funding access for some areas compared over other focus areas.
Funding categories could achieve similar or better outcomes in most cases with a simpler approach. A similar outcome would be achieved with the following weightings:
Community & Outreach - 5%
Products & Integrations - 70%
Governance & Identity - 10%
Development & Infrastructure - 15%
Funding categories could have reduced the total overall cost by 90% for handling funding categorisation for fund 8 if it was fully used as an alternative approach. The methodology for this cost comparison is documented.
Categorisation properties were defined and helped to determine which properties are desirable for funding categorisation. Funding categories apply the more effective properties by being broad, inclusive and recurring.
Funding categories applying more effective categorisation properties means funding categories are more efficient, simple, flexible, scalable, egalitarian and good for effectively directing funding and promoting healthy competition.
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