Product Analytics Masterclass

An 8-week live cohort for product managers who want to make faster, better decisions with data. No statistics degree required.

$349 Enroll now

What you'll learn

  • Define and instrument product metrics that actually drive business outcomes, not vanity dashboards.
  • Build a measurement plan from scratch and get engineering buy-in on implementation.
  • Run and interpret A/B tests correctly, including when to call experiments early and when to wait.
  • Present data findings to executives in a way that changes decisions, not just slides.

Curriculum

Module 1 — Foundations of Product Analytics
  • Why most dashboards fail (and what to build instead) 45 min
  • Choosing your core metrics: North Star, input metrics, guardrails 60 min
  • Instrumentation deep dive: events, properties, and naming conventions 50 min
  • Workshop: Build a measurement plan for your product 90 min
Module 2 — User Behavior and Funnels
  • Funnel analysis: finding where users drop off and why 55 min
  • Cohort analysis and retention curves 50 min
  • Segmentation that reveals actionable differences 45 min
Module 3 — Experimentation and A/B Testing
  • Designing experiments: hypotheses, sample sizes, and runtime 60 min
  • Statistical significance without the statistics PhD 50 min
  • Common pitfalls: peeking, novelty effects, and Simpson's paradox 45 min
  • Workshop: Design and critique real experiments 90 min

Your instructor

Sarah Lin

Product Analytics Lead, 12 years in data-driven product management

Sarah spent six years building analytics platforms at **Amplitude** and **Mixpanel**, where she helped hundreds of product teams instrument, measure, and ship with confidence. Before that, she was a PM at two YC startups, learning the hard way what happens when you launch without a measurement plan. She now advises growth-stage companies on product analytics strategy and teaches this course twice a year.

What students say

  • "I came in thinking I knew analytics. By week 3 I realized I'd been measuring the wrong things for two years. This course saved my team months of wasted effort."

    James Okoro, Senior PM, Fintech Startup

  • "Sarah's experimentation module alone was worth the price. I now run tests that my engineering team actually trusts."

    Priya Mehta, Product Lead, Series B SaaS

  • "Practical, opinionated, and no fluff. The workshop exercises forced me to apply everything to my own product in real time."

    Carlos Rivera, Head of Product, E-commerce

Common questions

What is the course format?

Eight weekly live sessions (90 minutes each) plus a private Slack community. Sessions are recorded if you miss one, but the live workshops are where the real learning happens.

How much time do I need per week?

Plan for about 4 hours per week: 90 minutes of live class, 60 minutes of pre-reading, and roughly 90 minutes on the hands-on assignment. Most students say the assignments are the most valuable part.

What is the refund policy?

Full refund within 14 days of enrollment if the course hasn't started. Once the cohort begins, you can request a prorated refund through week 2. After that, no refunds — but you keep lifetime access to all materials.

Ready to level up your analytics?

Next cohort starts June 9, 2026. Limited to 30 students per cohort for personalized feedback.

$349 — one-time payment

Enroll now