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Author-led course
PRODUCT MANAGER
Build one product-management system: user evidence, AI layer, strategy, economics, specification, and release. Nikolay Andriukhin leads the course. As Product Lead at HeadHunter, he is responsible for product development in Uzbekistan.
Private Discord community
Practice, quizzes, and a final project
Mentors and checkpoints
Lifetime access and updates
About the courseBring your own product or use the supplied support-operations case, then take it through seven Decision Room rounds. Each round leaves a working artifact: brief, discovery notes, AI-layer decision, strategy, economics, product spec, and decision memo. Nikolay Andriukhin runs live sessions in Discord to discuss the course material and participant questions. Finish with one PM package and a seven-minute review script.
- Build a product brief with ownership, user, and current alternative
- Run discovery and record observations without replacing evidence with your solution
- Decide whether the product needs an AI layer, who owns the data, and how evals verify quality
- Connect strategy, PMF signals, metrics, margin, and the primary economic risk
- Write a product spec with API contracts, analytics events, migration, and acceptance criteria
- Prepare rollout, monitoring, rollback, and a final decision memo with a seven-minute review script
Product Manager
Who this is for
New
People entering product management who need to understand the real scope of PM ownership
Pro
Developers, analysts, designers, and operators who need a product decision system
Early PMs combining discovery, an AI decision, metrics, economics, and a specification
Founders and solo builders testing a bet before expensive development
PMs responsible for AI features, data, evals, cost of error, and safe rollout
Curriculum
Eight modules and seven Decision Room rounds produce one PM package from discovery to safe release.
01
Product Lens
02
User and Market
03
AI Products
04
Strategy and PMF
05
Metrics and Economics
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How the Work Is Structured
Short lessons and seven practice rounds build one PM package from product brief to decision memo.
- One Product or Starter CaseAll decisions share the same evidence base. Use the supplied support-operations case when you do not have a product.
- One Artifact per RoundEach round leaves a product brief, discovery notes, AI memo, strategy, economics, product spec, or decision memo.
- Scenario-Based ChecksChoose a PM action under weak evidence, an expensive AI layer, conflicting data, or release risk.
- PM Package and ReviewThe final step combines seven artifacts into one memo and a seven-minute team-review script.
CommunityOne product bet passes through seven rounds: user and market, AI layer, strategy, metrics, economics, specification, and decision. At every round, update the evidence and write a conclusion that the team can inspect and act on.
Live Sessions and Practice
01
Live Sessions with Nikolay
Nikolay meets participants in Discord to discuss the course material and answer their questions.
02
Seven Decision Rooms
Each round puts you in a product situation with weak evidence, an expensive AI feature, a blocker, or disputed scope.
03
One PM Package
Seven working artifacts come together in a final memo and a seven-minute team-review script.
What You Keep
The PM package shows the decision path from user evidence to specification, release, and next step.
Seven Product Artifacts
A product brief, discovery notes, AI memo, strategy, economics, product spec, and decision memo for one case.
Shared Language with the Team
Data, API contracts, analytics events, acceptance criteria, rollout, monitoring, and rollback follow one logic.
Product Review Script
A concise narrative connects the problem, evidence, metrics, economics, risks, and continue, narrow, pivot, or kill decision.