


Free Lesson
Experimentation 101: Run an A/B Test with AI
Part of Build Your AI Product Analyst
60 min
Oct 21, 2026 1:00 PM
What you'll learn
Frame a testable hypothesis
Turn a vague "let's try this" into a clear statement of what changes, for whom, and what metric should move.
Size the test so the result means something
Work out how many users and how long you need before you start, so you are not reading noise.
Read the result without fooling yourself
Spot false positives, peeking, and stat-sig traps, and know when a lift is real enough to trust.
Decide ship, hold, or roll back
Translate the numbers into a clear call, with the tradeoffs and risks spelled out.







