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Author-led course
PRODUCT MANAGER
Learn to run a digital product: understand users, decide what to build, check whether it pays off, and take it to launch. Throughout the course you work as the product manager of a training app and practice on its data.
Private Discord community
Practice, quizzes, and a final project
Mentors and checkpoints
Lifetime access and updates
About the courseYou become the first PM at JOMO, a fictional memecoin copy-trading app where every decision shows up in users' money within a week. Analyze interviews and the user journey, pull numbers with SQL, use cohorts and funnels to find where the product loses people, test a prototype with five users, separate experiment effects from noise, model unit economics, fees, and subscriptions, decide where AI belongs, how to measure its quality and defend it from attacks, write a spec for coding agents, ship a feature in stages, and defend the decision in a memo. You do not need to know crypto mechanics. 41 practices are interactive simulators and SQL and JavaScript tasks; the capstone on your own product is checked against a rubric. In the capstone project, run the same sequence on your own product or one of three supplied web3 cases. In live Discord sessions, Nikolay Andriukhin discusses the key product decisions and participant questions.
- Write a bet with a decision rule and sort incoming requests by four risks
- Interview users about past behavior and describe the job to be done, alternative, trigger, and segment
- Build a metric tree with counter-metrics and use cohorts to find where the product loses people
- Separate an A/B test effect from noise and calculate margin, CAC, LTV, and cohort payback
- Decide where the product needs AI and check its quality with an evaluation contract, an LLM judge, and a golden set
- Choose a wedge and an order of bets, and defend the decision in a memo: narrow, pivot, or kill
Product Manager
Who this is for
New
People entering product management who need to understand the real scope of PM ownership
Pro
Early PMs who need a complete system for product decisions
Developers, analysts, and designers moving into a product role
Founders and solo builders testing a bet before expensive development
PMs responsible for AI features, answer quality, and the cost of error
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Curriculum
33 modules, from a PM's first week, metrics, and SQL to AI quality, launch, and a decision memo. Each module ends with practice on JOMO data and a transfer check.
01
The Product Manager's Job
02
Product Metrics
03
Data and SQL
04
Funnels
05
Users and Demand
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How the Work Is Structured
Short lessons, practice on JOMO data, and transfer checks lead from a PM's first week to a decision memo.
- The JOMO CaseExercises use data from a fictional memecoin copy-trading app where decisions quickly show up in users' money. The course does not teach crypto mechanics.
- Short LessonsEach lesson answers one working question and takes five to seven minutes to read. Flashcards reinforce the terms.
- Interactive PracticePractices on JOMO data are graded automatically: simulators explain each wrong answer, and SQL and JavaScript tasks run tests. Each module ends with a four-question transfer check.
- Final MemoIn the capstone project you write a decision memo for your own product or a supplied web3 case. It takes one and a half to two hours.
CommunityYou work as JOMO's first PM: sort requests, interviews, and cohorts, calculate experiments and money, decide where AI belongs, and write a memo. In many exercises you review an AI assistant's draft and find its mistakes.
Live Sessions and Practice
01
Live Sessions with Nikolay
Nikolay meets participants in Discord to discuss the course material and answer their questions.
02
Working Situations
Exercises put you in JOMO situations: six incoming requests, noise in the trader ranking, a scam-detector threshold, and an urgent conference demo.
03
Decision Memo
At the end you write a memo for your own product: decision and request in the first line, sourced facts, the strongest counterargument, and a review condition.
What You Keep
You leave with working records for the JOMO case and a decision memo for your own product.
PM Working Records
A bet with a decision rule, a metric passport, interview analysis, an economics model, and an AI evaluation contract for the JOMO case.
Decisions Backed by Numbers
Margin of error, test size, cohorts, CAC, LTV, and payback you can rely on when you disagree with the team or the founder.
Memo for Your Product
A decision memo backed by six working records: user, funnel, economics, requests, AI and trust, and a first-release spec.