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Product Thinking and Growth Through Metrics

Run your product as a system: hypothesis β†’ data β†’ decision.

14 modules46 lessons~18 h
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Curriculum

01

Product thinking

Free4 lessons Β· 84 min
  1. A product is a hypothesis about value, not a pile of featuresπŸ”’20 min
  2. Build β†’ Measure β†’ Learn: the loop your product lives inπŸ”’20 min
  3. Your product's business model on one pageπŸ”’22 min
  4. Your product's North Star and journal: instruments on the dashboardπŸ”’22 min
02

The user and value

Paid4 lessons Β· 87 min
  1. JTBD: what "job" your product gets hired forπŸ”’22 min
  2. Mom Test interviews: how to hear the truth, not politenessπŸ”’25 min
  3. Feedback as a system: the agent breaks down your feedbackπŸ”’20 min
  4. Segments by usage: not all users are equally importantπŸ”’20 min
03

The metrics map

Paid3 lessons Β· 64 min
  1. AARRR: the five stages of a user's lifeπŸ”’22 min
  2. The metrics tree: from North Star to daily leversπŸ”’22 min
  3. Feature metric and guardrail metrics: every bet has a scoreboardπŸ”’20 min
04

Instrumentation

Paid3 lessons Β· 72 min
  1. Tracking plan: designing events before you collect themπŸ”’22 min
  2. Events in Supabase: your database is your analyticsπŸ”’30 min
  3. Data QA: before you trust β€” checkπŸ”’20 min
05

SQL by hand with the agent

Paid4 lessons Β· 95 min
  1. First SQL: SELECT β€” questions to your own databaseπŸ”’25 min
  2. Aggregates and GROUP BY: from rows to metricsπŸ”’25 min
  3. JOIN: connecting tables β€” asking "in-between" questionsπŸ”’25 min
  4. A query library: SQL as a system, not a featπŸ”’20 min
06

Activation and onboarding

Paid3 lessons Β· 69 min
  1. Aha-moment: the moment the product "clicks"πŸ”’22 min
  2. The onboarding funnel: exactly where newcomers get lostπŸ”’22 min
  3. Fixing onboarding: the short path to valueπŸ”’25 min
07

Retention and cohorts

Paid4 lessons Β· 89 min
  1. Retention: the one metric you can't fakeπŸ”’22 min
  2. Cohorts: the product's time machineπŸ”’25 min
  3. Churn: why people leave β€” and what to do about itπŸ”’22 min
  4. DAU/WAU/MAU and stickiness: the pulse of engagementπŸ”’20 min
08

Monetization

Paid3 lessons Β· 69 min
  1. Monetization models: how a product turns value into moneyπŸ”’22 min
  2. Pricing: price is a hypothesis, not a guessing gameπŸ”’22 min
  3. LTV on cohorts: what a user is actually worthπŸ”’25 min
09

The product dashboard

Paid3 lessons Β· 75 min
  1. Designing the dashboard: one screen of truthπŸ”’20 min
  2. Building the dashboard with vibe coding: your own tool in an eveningπŸ”’35 min
  3. The weekly review: the ritual that makes data workπŸ”’20 min
10

Hypotheses and prioritization

Paid3 lessons Β· 64 min
  1. The hypothesis backlog: from a chaos of ideas to a queue of betsπŸ”’20 min
  2. ICE and RICE: a queue by the score, not by sympathyπŸ”’22 min
  3. Cutting scope: the minimum that gives a learnπŸ”’22 min
11

A PRD for your AI agent

Paid3 lessons Β· 67 min
  1. User stories and acceptance criteria: a language both humans and agents understandπŸ”’22 min
  2. The PRD: one brief for the agent β€” from hypothesis to eventsπŸ”’25 min
  3. Acceptance: trust, but verify against the criteriaπŸ”’20 min
12

Testing hypotheses (without classic A/B)

Paid3 lessons Β· 67 min
  1. Fake door: test demand without building the featureπŸ”’20 min
  2. Before/after on cohorts: an honest verdict without A/BπŸ”’25 min
  3. Staged rollout and validation by conversation: the full testing arsenalπŸ”’22 min
13

Product health

Paid3 lessons Β· 65 min
  1. Errors: Sentry β€” learn about bugs before your users doπŸ”’25 min
  2. Uptime and backups: a product that doesn't disappearπŸ”’22 min
  3. Tech metrics on the dashboard: health as part of the pictureπŸ”’18 min
14

Rhythms and the final project

Paid3 lessons Β· 100 min
  1. The product cycle: the week and the month that move the productπŸ”’20 min
  2. Roadmap: now / next / later β€” where the product is goingπŸ”’20 min
  3. The final project: your product system on one pageπŸ”’60 min
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