Learn product analytics in a course built only for you. And actually retain it.
Define events that mean something, read retention curves correctly, and stop shipping features whose success you can’t measure.
Free to start · no account needed
Built around your goal, not a catalog
What your course could open with
lrnit interviews you first (what you know, why you’re learning, how you think), then generates every lesson for that. Sample lessons from a course like yours:
Measured, not watched
By the end, you’ll be able to
- Design an event taxonomy your analysts won’t curse
- Read activation and retention data without fooling yourself
- Attach a falsifiable success metric to every launch
What a capability check looks likebeforenow
Design an event taxonomy+62
Read a retention curve+63
Set a launch metric+62
Every lesson ends in assessment. Mastery is tracked per concept with spaced review, and the course adapts to what you actually retain. Finishing means a timed final exam and a verifiable certificate, not a completion badge.
“It felt like the course already knew what I did for a living.”
Questions people ask
- Do I need to write SQL?
- Not to start. The focus is defining events, reading retention, and attaching honest success metrics; light query skills help but are not required.
- What changes after the course?
- You will design an event taxonomy analysts can work with, read activation and retention without fooling yourself, and set a falsifiable metric for every launch.
- Is it tied to one analytics product?
- No. The thinking applies across Amplitude, Mixpanel, and PostHog, since the skill is asking the right question of the data.
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Free to start · no account needed
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