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Proposal “dash-intel“ (Active)Back

Title:Governance Analytics & Business Intelligence
Monthly amount: 50 DASH (17542 USD)
Completed payments: no payments occurred yet (3 month remaining)
Payment start/end: 2018-03-19 / 2018-06-16 (added on 2018-03-10)
Final voting deadline: in 12 days
Votes: 194 Yes / 68 No / 5 Abstain
Will be funded: No. This proposal needs additional 350 Yes votes to become funded.
Manually vote on this proposal (DashCore - Tools - Debugconsole):
gobject vote-many 2f09a8b36477c1f7be2b8e3153b32a67f8438172ae0b0fd6370ea00c6352a762 funding yes

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Proposal description

While the Dash DAO is a unique and radically transparent governing body, there has been very limited data-driven analysis performed to evaluate its function.

We would like to provide the Dash community with a deeper look into the inner workings of the Dash Governance and Budgeting System by thoroughly analyzing masternode voting patterns, proposal attributes, and many other network parameters to gain additional insight into how the treasury system behaves and how this behavior changes over time.

This information will provide value for the MNOs - by giving them a much deeper understanding of how their governance body functions, while also being incredibly useful for those submitting proposals - by providing them with analytics that will help understand the network’s needs and thus structure proposals that are more likely to deliver value to the network and thus pass with ease.

Our work will consist of two primary functions:

  1. Data Collection and Analysis 
    Ongoing development of a comprehensive governance database containing proposal, votes, categories, pricing information, and additional info and insights.

  2. Build-out of user-facing website
    • Easily digestible visualization of the collected data, updated live.
    • Public access to API, containing the raw data.

As MNOs, we have a genuine curiosity about the way the DAO operates and have already begun collecting and analyzing network data. While limited by our ‘bootstrap’ budget, we have been able to develop a basic database and extract some interesting insights. Here are a few examples of our initial findings.

  1. Here is a basic stacked bar graph showing what day of the month the votes came in for the January 2018 budget period. It gives Proposal owners an idea of when MNOs are most active. Additional insight can be gained by looking at how this distribution has changed over time across budget periods, as well as further examining anomalies, such as the vote spike in the middle of the month.

  2. This graph gives additional insight into masternode activity, by showing what time of day and day of week votes come in on (shown in PST)

  3. This graph shows how many Unique Masternodes voted in each budget period. Evaluating the changes in MNO engagement over time is a powerful tool in assessing the health of the overall ecosystem.  

  4. MNO voting patterns: From this graph, we see that in this particular budget period, 502 MNOs voted YES on 100% of the proposals they evaluated, while 65 MNOs voted NO 100% of the time, with a somewhat standard distribution for the rest.

  5. Our preliminary research shows that we can find Masternode Groupings based on whether or not votes have the same value and are cast at the same time. We make the assumption that each cluster is a single actor with multiple nodes using the Dash Masternode Tool or something similar to cast all the votes simultaneously.

    However, there are some tools that provide vote-blinding methods by taking multiple votes and spreading them out randomly over time. To address this, we will be looking into the correlation between MN votes without looking at the vote timing. For example if nodes A, B, C always vote the same way across a range of proposals - we can assume that they belong to the same owner or the same group.

    Our initial research appears to indicate that the Masternode Groupings have gotten smaller over time, indicating that the network is becoming more decentralized. This is a very positive indicator for the health of the network and we are excited to complete our research and provide the community with the entirety of our findings.

All graphs will be interactive and will live on the dashintel.org website.


Our objective is to use the additional funding from the Dash Treasury to accelerate the gathering and analysis of data, as well as making our research publically available to the network. More specifically, we would like to further explore the following areas:
  • Network Analysis - we will seek to find insights on how individual nodes operate, how the network behaves as a whole, and how consensus is reached. These are core components to understanding the behavior of any network, from an ant colony to an election. Our research will begin with the examination of the following:
    • Looking at voting patterns to determine how nodes influence each other
    • Identification of nodes that act as “opinion leaders"
    • Identifying tipping points during a voting process where the outcome can be predicted.

  • Sentiment Analysis - using tools like Watson Tone Analyzer to gauge comment sentiment on proposals and pre-proposals will give us further insight into how the MNOs and the broader community react to various types of proposals. This research will be focused on determining:
    • Who are the most vocal/influential members of the community?
    • How does the community react to various categories of proposals, such as development, marketing, and integration?
    • Which proposals are the most contentious?

  • Statistical Analysis - we will use a regression based models to test our hypothesis and determine which factors are statistically significant, which will be particularly useful for:
    • Examining correlation vs causation relationships
    • Identifying outliers that require further qualitative examination
    • Mathematically validating or discrediting our hypotheses
We see tremendous value in making our work publically available to the community and would like to encourage collaboration with all its members.


Using the 30 Day SMA moving average price of $510 USD/DASH from yesterday (3/8/18), the total comes to 50 DASH/month.
* Any increases in Dash price will be used towards further development and expanding our data sources.

Pre-Proposal Link

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Discussion: Should we fund this proposal?

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0 points,1 day ago
Although I feel like this is a tool to spy on masternode owners, LOL, I think the transparency it provides is invaluable. I'm voting yes.
0 points,2 days ago
Having the maximum number of metrics and analytics is essential in any company and the DAO must have these technologies to make the most accurate decisions. Thanks for the proposal, you have my support
0 points,3 days ago
Voting yes with both hands! More information and transparency is a good thing.

1 point,4 days ago
Very interesting info so far!
Hopefully y'all can also work with the community and focus your analytics on other things of interest as well. For example, if the community asked you to do an investigation to track large giveaways to make sure said giveaways are not being gamed with large sums of Dash immediately being consolidated to one polo account and cashed out.
Can y'all help with stuff like that or is this just a masternodes only thing?
1 point,3 days ago
Thanks for the comment.

We've been talking with John Kindel and some others on the Core team as well about taking this data analysis beyond just the governance data and this is something we could potentially look into.

We have some code for looking at the transaction layer for our proposal payout calculations (thanks Insight API :) ), and it should be possible to transfer some of that work over to looking at giveaway wallets.
1 point,6 days ago
Prediction: This proposal will pass.
Voting yes.
5 points,7 days ago
This preliminary data suggests what every level-headed Masternode owner long suspected: The degree of decentralization of MN-ownership is just fine and it keeps getting better. No "evil Evan" or "evil Core" controlling an "absolute majority" as sore haters and trolls have been lying about for years.

I'm really glad this analysis was done, as it is invaluable in our fight against detractors and more importantly it serves as a perfect advertisement for Dash's healthy ecosystem to any potential user and/or investor out there.

It goes without saying that this proposal has my full support as the additional planned features are exactly what our network needs. It will be a beautiful display of our living network to see the data & stats evolve over time.

This is the kind of independent developmental proposal I was hoping for for a long time.

1 point,7 days ago
Nice proposal, I think it would be cool to include a price metric. If Dash goes up mid/down voting cycle does it change voting behavior. Perhaps getting data from dashcentral going forward would be possible. Imagine if you could see time to decision on a proposal (and repeat views) to determine how quickly a decision was made to vote no or yes.

With enough analysis you should find a couple big MNO's probably using a voting script to submit votes rather than just one big vote.
0 points,3 days ago
Great idea for price metric comparison!

We can ask Rango for this but I don't think he's running analytical code to that degree and I'm not sure if it's something masternodes would really want to subject themselves to.
1 point,7 days ago
I was a little unsure that I wanted publicity and scrutiny... but then I realised that transparency and openness is what makes crypto-currencies like dash different from banks. So i'm voting yes. It's good for people to see as much as possible.
2 points,7 days ago
Yes from me. I think this is important information to have and track for the network.

I would also be curious to know if exchanges are setting up masternodes. Which is fine, as long as their clients are made aware.
0 points,3 days ago
Looking into whether exchanges are setting up masternodes or not isn't something we've planned on looking at but it might be possible.

I would imagine many exchanges do set up masternodes but it could be tough to track the movement of those funds in a manner where we're certain that they're held by an exchange vs just sent to an individual's wallet from an exchange address.
2 points,7 days ago
Interesting budget proposal, it could be usefull to have data-driven analysis to evaluate Dash decentralized governance and budget system.
We could draw some interesting insight from that.
You have my support.
3 points,8 days ago
Thank you for this proposal! It looks to be very useful in evaluating the health of the treasury/network as well as inform potential proposers.

This is more the type of information I have been looking for, "to help masternodes make more informed decisions."

More types of data I'd like to see, that perhaps you might provide in the future:

What kinds of proposals are being submitted each month? (dev, biz ints, ads, ed, community, etc.)
What proportion of those categories are being approved?
What proportion of the budget is being allocated to those categories per month/quarter/year?
What is the avg/median size of proposals submitted vs being approved?

How likely are proposals to be approved that are submitted by first-time proposers vs a 2nd-time proposer, 3rd+ or more "experienced" proposal owners? and what is the "experience-distribution" of proposals being submitted/approved?
i.e. what proportion of the budget is being allocated to first-time proposers vs more experienced?

I'm also interested in your "Sentiment Analysis," particularly the data that answers "What types of proposals are the most contentious?" I'd be fascinated to see what types of proposals are more/less contentious (e.g. development has 96% "approval" votes, marketing-type proposals on average this month have 84% "approval" votes, education-type proposals on avg have 43% "approval" up from 35% last month, etc...) and also what proportion of the budget contains proposals that are "contentiously" passed (e.g. 30% no votes) or that have broad support (e.g. under 5% no votes)

Looking forward to the approval of this proposal and more of your work!
2 points,7 days ago
Thank you very much for your support and research suggestions!

We have already begun looking into some of the questions you mentioned and will be able to provide visualized data, as well as analysis and insights within a few weeks.
2 points,8 days ago
I appreciate your responses in your Pre-Proposal and willingness to flesh out what is intended and projected with further developments. Analytics of these kinds will probably be invaluable going forward for the reasons you describe.
2 points,8 days ago
This sounds like valuable feedback to the MNOs, and seems reasonably priced. Voting yes.