Analytics & Research subWG

Overview:

Analytics & Research (A&R) subgroup

Scope of Work:

The full scope of work under A&R subgroup is as follows:

  • Analytics
    A&R is responsible for the gathering of intel and analytics of all things pertinent to ENS DAO, especially Governance, under one roof. A&R should also actively seek to pull engagement data from third-party providers such as ShowKarma pertaining to users, delegates and contributors. A&R shall also actively seek to archive & analyse data pertaining to off-chain and on-chain votes, ENS token dispersion, Discourse data, Discord data and Twitter analytics. The aim of this exercise is to equip the DAO with all the necessary data and information required in its several decision-making processes, e.g. Steward elections etc.

  • Research
    A&R is responsible for briefing all working groups with data-driven approaches to streamline ENS DAO. One example of a duty of A&R toward ENS DAO is to formulate a dynamic and machine-generated model for capturing reputation and health of DAO delegates, stewards and contributors. Currently, most reputation models are static, manual, rudimentary and gameable. An ideal reputation should not be gameable or static. In this context, A&R should look into already existing approaches such as classic Hedonic modelling & regression and Hedonic-AI regression to rid us of manual and gameable models; this is possible but needs dedicated work to formulate training datasets (for Hedonic-AI) and quantifiable data for fitting (classic Hedonic). This work requires devising detailed semi-annual surveys to capture the state of ENS (at the very least) in consultation with the ENS DAO community and contributors. The result of this undertaking should be to provide the DAO with actionable intel during elections (e.g. reputation & health of candidates) and other relevant decision-making processes. A&R is also responsible for actively assessing threats to ENS and propose ideas to make the DAO resistant to risk and volatility; an example of this is to devise practical ways of reducing dead vote count, off-boarding process for delegates & contributors, and suggesting improvements to governance model.

Subgroup name:

Analytics & Research

Subgroup coordinator:

@inplco

Contributors:

@inplco, @fig (FlipsideCrypto.xyz), @mmurthy (ShowKarma.xyz)

Roadmap:

Q2-2022:

  • First semi-annual survey of the ENS DAO in June 2022. The survey will be designed in a quantitative, anonymous and no-text format to gauge the health of ENS Governance and to signal possible amendments to the current processes. The strict quantitative nature of the survey prompts should enable the results to be utilised in Hedonic regression model for steward and delegate health/reputation in Q3/4. The results will be showcased in form of community-mandated steward and delegate health cards. This must be ready before the next Steward elections for Q3/4.

  • Partner with Show Karma to pull daily engagement data for contributors, stewards and delegates from Discourse and generate first ENS DAO (semi-annual) Governance Report. This will contribute toward multi-modal graphic representation of steward and delegate impact. This must be ready before the next Steward elections for Q3/4. Flipside Crypto may make contribution in this report with their analytics inputs.

Q3/4-2022:

  • Develop the dynamic, linearised (easy AI switch later) and ungameable health model employing Hedonic regression methods. This is where the quantitative surveys performed in June Q2 will become useful from hard analytics perspective. The results of hedonic regression will yield the relative perceived values of traits/qualities/processes of ENS DAO that the community finds meaningful.
  • Bring Discord (bot search; have some ideas from DAOist GGG talk by Kristin Chen from Top.gg), Twitter analytics into the frame
  • Research work on two subjects:
    a) Voting power diffusion in Sybil-agnostic voting systems aka “dead votes” issue (like ENS),
    b) Propose practical off-boarding process for delegates, and
    c) Propose re-delegation strategies to counter dead votes.
  • Second semi-annual survey in December 2022
  • Second ENS DAO Governance report
  • (to be added)

Scheduler:

Calendly - inplco.eth

6 Likes

@inplco thanks for putting this together and adding a more detailed scope.

Flipside is happy to commit internal resources around on-chain analytics, focusing on key aspects of protocol health. Areas we can assist with are Governance, Delegation, On-Chain Voting, and $ENS.

We are excited about the insights this Subgroup can contribute to the DAO and greater education it brings to both the end-user and working group contributors.

See some of our past work here: ENS Community-Enabled Analytics Bounty Program

(View comments for results and analytics from the program)

5 Likes

I have added a calendly link on the post (for later use) in order to plan a weekly or bi-weekly meeting; I suggest we begin meeting regularly in Q3/4. Before that, I only foresee one or two meetings at most.

There is significant work that I have committed to before end of Q1/2 and the Steward elections in roughly 6 weeks from today. In order to carry out this work, I need two things:

  • @mmurthy: API end-point for daily engagement data from Discourse. This will be used in generating health cards for stewards, contributors and delegates before the elections, as well as the semi-annual report on ENS Governance. I’ll send you a DM on Discord to iron out some details.

  • @fig: API end-points to queries made by users on the CEA portal of ENS; some of the questions asked therein are already very useful. This will go in the semi-annual report. If I think of more queries, I will pass them on to you.

I also need to request budget for these 6 weeks of work. Currently, I see lots of work for me, followed by significant work for @mmurthy who has to find a way to propagate the daily engagement data (this is not yet implemented in ShowKarma workstream), followed by some contributions by @fig that are not yet clear. I’ll request the budget accordingly; I expect it to be no more than USDC 10,000 total (@nick Is this fair value? I am clueless on this).

If you have any comments, questions or suggestions, please let me know! :slight_smile:

2 Likes