All tracksAnalytics
Analytics
Activation, retention, funnels, paths, and session replay. Every lesson builds a real chart on live data, then shows you how to read it.
This course includes ↘
- Activation and onboarding funnels
- Retention and cohort analysis
- Conversion paths and drop-off diagnosis
- Product metrics and benchmark frameworks
- AI-assisted analysis and session replay
About this course
Activation, retention, funnels, paths, and session replay. Every lesson builds a real chart on live data, then shows you how to read it. Work through the syllabus in order, or jump directly to the problem you need to solve. Every published lesson is practical, concise, and built around a real workflow.
In this course
Funnels & conversion5
How to measure activation rate (formula, benchmarks, and how to build the funnel)4 min
Funnel analysis: five real examples from signup to checkoutComing soon
Funnels vs paths: which analysis answers which questionComing soon
How long users take to convert (and why the median lies)Coming soon
Fix conversion drop-offs with session replayComing soon
Activation & onboarding3
How to choose your activation event (finding the aha moment with correlation analysis)Coming soon
Onboarding funnel analysis: find exactly where new users drop offComing soon
Time to value: how to measure it and shorten itComing soon
Retention & churn7
How to calculate retention rate (and what a good one looks like)Coming soon
How to read a retention curve: the four shapes and what to do about eachComing soon
Cohort analysis explained: how to read the retention tableComing soon
DAU/MAU stickiness: benchmarks by product categoryComing soon
Churn analysis workflow: cohorts → session replays → exit surveyComing soon
How to find your power users (and what they have in common)Coming soon
User lifecycle analysis: new, returning, resurrected, dormantComing soon
Journeys & paths3
User path analysis for product teams (paths, anchors, and Sankey charts)Coming soon
What do users actually do after signup?Coming soon
Cleaning noisy path data: hiding events and collapsing dynamic URLsComing soon
Metrics & frameworks5
Feature adoption rate: how to measure a feature launchComing soon
AARRR pirate metrics: the interactive walkthroughComing soon
North star metric: examples and the input-metric treeComing soon
The product KPI dashboard: what PMs should check daily, weekly, monthlyComing soon
The Sean Ellis PMF survey: template, trigger, and reading the 40% testComing soon
AI-assisted analysis4
Chat with your analytics: build charts by describing themComing soon
Diagnose a metric drop with AI (anomaly detection + drill-down)Coming soon
Query your product analytics from Claude (MCP)Coming soon
Which behaviors predict retention? Correlation analysis explained honestlyComing soon
Session replay2
Session replay best practices for product teamsComing soon
Session replay privacy: masking, PII redaction, and GDPRComing soon