The charts above give us an understanding about the level of participation in the MetricsDAO education ecosystem. It turns out, that there a few hundred active participants, who attend and graduate multiple classes (including the same class repeatedly, not just signing up, but also graduating !! )

The groundwork is now in place for continued market research.

Some Notes about the signups:

• The Web 101 Async course had a badge created for it, but none were ever distributed. With almost 500 graduates, it seemed more reasonable to include their graduation numbers in the chart

• Algorand had a massive number of signups, due to a bot attack. With only 13 graduates, it seemed pertinent to leave out the 3000 or so.

• Cohorts refer to the four Web 3 101 series' of courses, which were held.

• The tracking methodology changed over the cohorts. See the cohorts tab for more info.

How effective is the MetricsDAO education?

This MetricsDAO (MDAO) analytical challenge is inspired by @imaaronlamphere, @PCWCFA and others, gaging the effectiveness of the various marketing strategies. As a valued member of the community, who nonetheless has yet to earn credibility amongst the MDAO inner sanctum, I thought it would be fun to see just how much information can be collected, using just data available publically on the Ethereum blockchain.

Thanks to the implementation of badges, and before that POAPs, and the fact that we can track payments and user behavior with the blockchain, a fair amount of interesting data can be aquired, transposed, aggregated, munged and finaly converted into pretty pictues. I hope that my work will contribute new insights.

My focus is on sign-ups and graduate behavior, before and after signing up to a MetricsDAO course. I break down by course, including four iterations of 'Web3 101 Live", known as cohorts.

There is some extra information in the other tabs, for those who wish to delve further. It is only for the data geek. As I plan to return to this topic, I wanted to be able to retrieve the data from the first cohort, for future analyses, and if others are also interested, we can save ourselves some time now, no longer needing to mess around on the Poap site. So I saved two tables, one with sign-ups, and one with the graduates.

In the cohort 2 tab, I looked at how completion rates by segment were distributed. For the last two cohorts, segment completion is on longer being tracked. I thought it might be interesting to see the breakdown by segment. There was no requirement to complete all the classes, and there was a curious mix of how things played out there.

Finally, I grabbed the key source table, listing all the addresses that were part of the educational ecosystem, whether they were graduates or signups, and which course they attended.

Shout out to @PCWCFA for inspiration and this dashboard

About the courses

MDAO has been offering a Web 3 101 analytics introductory course, since August of 2022. This class is offered "live", split up into five segments, with one segment covered per week. MDAO has now completed four rounds of this class, called "cohorts". They have also run a second, more advanced Web 3 201 course, also live.

MDAO also offers "Async" courses, for people who prefer to go at their own pace. The flagship Web 3 101 course is offered this way, as well as "Algorand 101", "Near 101" and "Ethereum 101" on Teachable.com

Three other courses, "DAOs 101", "Cosmos 101", and "Solana 101" are accepting signatures, but have not started.

Future endeavors will include

• Tracking the behavior of sign-ups and graduates.
  • Did they earn $XMETRIC or $RMETRIC and become engaged afterwards?
• Did they make money on bounties only after signing up/ graduating?
• Did the graduates do better than the sign-ups?

Hopefully, you have enjoyed this and are inspired to build on the analysis !!

Twitter: @potmo

Discord: potmo#9983

EVM: 0x51062AF21E68007edfa5D4f8c19B59DeF76aBF4c

• Just over half the people who enrolled in at least one class, graduated.
• Many people
• Signed up for more than one course
• Graduated from more than one course
• Signed up for the same course more than once (!)
• Graduated from the same class more than once (!!)

I've heard of having to repeat a class, but I was a bit surprised that people were graduating from the same class more than once! What's up with that? To get slightly technical for the SQL geeks, it was a very instructive lesson, in not forgetting to use the DISTINCT modifier! One tends to think that if you are aggregating that it will automatically break things down for you categorically, but when you assume things i.e "people don't graduate from the same class more than once", you can get yourself into trouble!

This was not just a slight inaccuracy. A majority of the graduates had graduated 2, 3 or more times! Things that make you go 'Hmm..'