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Alumni reviews
Much more before this course A/B testing felt like something “the data people” understood and I was just supposed to nod along to
Andrew explains statistical power in a way that doesn’t make you feel dumb, which I really appreciated. Some parts were still heavy, especially sample size, and I definitely had to rewatch a section or two
K
Cohort 1 (April'2026)
PM · Nebius
I joined because our team kept arguing based on opinions, and I wanted a better way to talk about product decisions
The course helped me understand when an experiment is actually useful and when it’s just noise dressed up as data. I especially liked the sections on primary metrics and reading results without jumping to conclusions too early
Arox
Cohort 1 (April'2026)
. · Viktoriia Mende NL003542799B43
This is not one of those courses where you just watch the videos, feel productive for an hour, and move on. You actually have to think. I took it pretty quickly, and it gave me a much cleaner way to connect experiments to real product goals.
I would’ve liked a few more beginner examples before some of the trickier cases
Evgeniia
Cohort 1 (April'2026)
Product manager · Dell Technologies
Loved the product thinking in this course.
The course pushes you to slow down and ask, “What are we actually trying to learn here?” That alone changed how I think about experiments. I am already applying the learnings at work, including some tricky experiment lines with multiple variants / low traffic / etc
Vladimir
Cohort 1 (April'2026)
Lead Product Manager · Booking.com
I had run A/B tests before, but this course made me realize how messy my process actually was. The stuff about hypotheses, metrics, power, and sample size seems obvious in hindsight, but I was skipping pieces of it all the time. Andrew makes the stats feel way less intimidating, especially for someone who isnt trying to become a statistician. Def worth it 👍
Dilara
Cohort 1 (April'2026)
Product Marketing Manager · Freelance


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