Web3 Family Office premium course

Key figures

Money

Revenuecohorts 2–5, 32 students

~$213K

Average ticket

~$6.7K

Moved to the paid community12 of 32 students, who paid for another year

37.5%

Learning

Lesson usefulness (CSI)~5.9 of 6; two questions after every lesson: usefulness and likelihood to apply

98%

Studentscohorts 2–5: 10 → 9 → 7 → 6

32

Idea

The first iteration of the flagship programme was a 9-month series of twice-weekly live calls run by another methodologist. The task for the second iteration was a reproducible blended course.

The concept is the Family Office method applied to Web3 without hiring staff: define the investor's risk profile and capital, then pick a toolset and strategy for each market state. The final modules cover legal and analytical outsourcing for very large sums and end with an NFT certificate. I joined as the learning experience designer and became the product manager in January 2024.

Product decisions

Marketing

Sales ran from September 2023 to May 2024. After the course nearly all graduates recommended it, yet referrals never converted: the purchase needed a long ramp of trust in the lead speaker, which a referral could not replicate at that ticket and amid crypto scepticism.

Learning

I designed the course from an end-to-end case, a portfolio simulation in which each student works toward a target cash flow, using Kolb's experiential cycle, and I designed its rhythm, content, seminars and lectures. The rhythm is a weekly cycle: materials from Friday to Monday, a Tuesday practice seminar with an analyst, Wednesday question prep and a Thursday theory-and-practice session with the lead speaker. For it I defined and edited lesson videos from the live-call recordings, defined lesson pages, wrote the seminar scripts and designed the session decks.

The simulation ran for 2 months in Google Sheets: each student set a target passive income and capital, and the modules were mapped to market states and income types. I ran the cohorts end to end: uploaded all the materials, communicated with the students and covered the whole rollout. I also gave second-line content support (wallets, fees, bridges, networks, block explorers) and escalated protocol selection and options hedging to the analyst.

Improvement cycle

Every lesson ended with two six-point questions (usefulness and likelihood to apply) and each cohort closed with student interviews; usefulness averaged about 5.9 of 6. The second iteration itself replaced a series of live calls with a reproducible weekly cycle.

Student feedback

• Nearly all graduates recommended the course
• 12 of 32 students moved to the paid community and paid for another year