Experimentation & A/B Testing
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10 lessons3 levels1 capstone project
Turn product hypotheses into controlled experiments; define metrics and guardrails, randomize correctly, reason about statistical power, analyze effects, avoid peeking, and make evidence-based launch decisions.
BASIC
- Product Analytics 101 — Statsig (25 min selected)
Connect metrics, funnels, cohorts, and behavioral evidence to experiment decisions. - AI Experimentation Webinar — Statsig (30 min selected)
Practical experimentation patterns, including non- deterministic AI product behavior. - Must-Have Metrics for Product Strategy — Reforge (25 min selected)
Choose outcome metrics and guardrails that make experiments decision-useful.
INTERMEDIATE
- Probability Distributions — StatQuest
A deeper treatment of the same skill; use it to move from concept to working patterns. - Metrics, Funnels, and Growth Analytics
Apply Experimentation & A/B Testing through the adjacent capability: Product Analytics & Growth. - One-Hour Product Analytics Tutorial
Apply Experimentation & A/B Testing through the adjacent capability: Product Analytics & Growth.
ADVANCED
- Build a User Story Map — Workshop Wednesday
Extend Experimentation & A/B Testing into senior/production practice through Agile Product Development & Management. - Retention Analysis — Mixpanel
Extend Experimentation & A/B Testing into senior/production practice through Product Analytics & Growth. - Prioritization Frameworks in Practice — Jira Product Discovery
Extend Experimentation & A/B Testing into senior/production practice through Product Roadmapping & Prioritization.