Lesson 1. Product analytics foundations
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What product analytics is, how it supports product thinking, and when data should (and should not) override design judgment.
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Open lessonGreat product decisions are driven by data, not assumptions. Built for Product Designers, PMs, BAs, UX Researchers, and aspiring Product Analysts.
~8 hours10 lessonsSelf-paced
Great product decisions are driven by data, not assumptions. Built for Product Designers, PMs, BAs, UX Researchers, and aspiring Product Analysts.
Analyze user behavior, define meaningful KPIs, track events in GA4 and Mixpanel, and turn data into product and UX decisions you can defend.
Connect product thinking to user behavior so you measure what matters for experience and business outcomes.
Define success metrics you can defend, not vanity numbers that look busy in a deck.
Design analytics frameworks and tracking plans teams can implement without guessing.
Use industry-standard tools for web analytics and behavioral product analytics.
Run the analyses that reveal drop-off, engagement patterns, and growth opportunities.
Build dashboards and present data-backed product and UX recommendations with confidence.
Talodabi · Academy
Certificate of completion
Product Analytics for Product Designers
Complete all lessons and submit the Product Analytics Case Study: KPIs, event tracking plan, funnel and retention analyses, opportunity findings, and a stakeholder-ready report.
While your Academy account is active. Sign in to open lessons, then learn at your own pace.
Yes, when the course marks a certificate and you finish the required lessons or capstone.
Most short courses are online. Download any templates your instructor shares, then return online to submit work.
Cohort students get instructor and peer support in class channels. Self-paced courses include guides in this site and the design-assistant kit.
10 lessons · GA4 + Mixpanel · end-to-end capstone case study
01
What product analytics is, how it supports product thinking, and when data should (and should not) override design judgment.
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Open lesson02
Map journeys, spot friction, and turn qualitative UX questions into measurable behavior signals.
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Open lesson03
Define meaningful success metrics for experience, retention, engagement, and business outcomes.
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Open lesson04
Write testable product hypotheses and decide what “success” looks like before you ship a change.
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Open lesson05
Design event taxonomies, properties, and analytics frameworks teams can implement consistently.
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Open lesson06
Set up and use GA4 for product-relevant reporting: events, conversions, and journey signals.
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Open lesson07
Use Mixpanel to analyze how users move through product flows and where they stall.
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Open lesson08
Run the core product analyses that uncover drop-off, return patterns, and segment differences.
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Open lesson09
Build stakeholder dashboards and turn findings into clear UX and product recommendations.
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Open lesson10
End-to-end case study: analyze a product, define KPIs, plan tracking, run funnel and cohort analyses, and present a stakeholder-ready report.
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Open lessonUse a real or practice digital product (your Project B, a Store brief, or a public product you can observe). Focus on one clear journey, not the whole product surface.