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PostHog Tutorial
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PostHog Tutorial: Open Source Product Analytics Platform

Stars License: MIT Python

PostHogView Repo is a comprehensive open-source product analytics platform that provides everything you need to understand user behavior, track conversions, and make data-driven product decisions. It combines web analytics, session recordings, feature flags, and A/B testing in a single, privacy-focused platform.

PostHog empowers product teams to build better products by providing deep insights into user behavior without compromising on privacy or data ownership.

flowchart TD
    A[User Interactions] --> B[PostHog SDK]
    B --> C[Event Ingestion]
    C --> D[Data Processing]
    D --> E[Analytics Engine]

    E --> F[Dashboards]
    E --> G[Insights]
    E --> H[Reports]

    A --> I[Session Recordings]
    I --> J[Playback Analysis]

    A --> K[Feature Flags]
    K --> L[A/B Testing]
    L --> M[Experiment Analysis]

    classDef input fill:#e1f5fe,stroke:#01579b
    classDef processing fill:#f3e5f5,stroke:#4a148c
    classDef analytics fill:#fff3e0,stroke:#ef6c00
    classDef output fill:#e8f5e8,stroke:#1b5e20

    class A,B,C input
    class D,E processing
    class F,G,H,I,J,K,L,M analytics
    class output
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Tutorial Chapters

Welcome to your journey through modern product analytics! This tutorial explores how to master PostHog for building data-driven products.

  1. Chapter 1: Getting Started with PostHog - Installation, setup, and first event tracking
  2. Chapter 2: Event Tracking & Properties - Implementing comprehensive event tracking
  3. Chapter 3: User Analytics & Funnels - Understanding user behavior and conversion flows
  4. Chapter 4: Session Recordings - Analyzing user sessions and interactions
  5. Chapter 5: Feature Flags & Experiments - A/B testing and feature rollouts
  6. Chapter 6: Dashboards & Insights - Creating custom analytics dashboards
  7. Chapter 7: Advanced Analytics - Cohort analysis and advanced queries
  8. Chapter 8: Production Deployment - Scaling analytics for production applications

Current Snapshot (auto-updated)

What You'll Learn

By the end of this tutorial, you'll be able to:

  • Set up comprehensive product analytics for web and mobile applications
  • Track user events and properties with proper data structure
  • Analyze user behavior through funnels, cohorts, and retention
  • Record and analyze user sessions for qualitative insights
  • Implement feature flags for controlled rollouts and A/B testing
  • Create custom dashboards for stakeholder communication
  • Build advanced analytics workflows for product decision-making
  • Scale analytics infrastructure for high-traffic applications

Prerequisites

  • Basic JavaScript/TypeScript knowledge
  • Understanding of web development
  • Familiarity with REST APIs
  • Basic understanding of analytics concepts

Learning Path

🟢 Beginner Track

Perfect for developers new to product analytics:

  1. Chapters 1-2: Setup and basic event tracking
  2. Focus on implementing analytics in your application

🟡 Intermediate Track

For product managers and developers:

  1. Chapters 3-5: User analysis, sessions, and feature flags
  2. Learn to derive insights from user behavior

🔴 Advanced Track

For analytics engineers and data teams:

  1. Chapters 6-8: Advanced dashboards, analytics, and scaling
  2. Master enterprise-grade product analytics

Ready to build data-driven products with PostHog? Let's begin with Chapter 1: Getting Started!

Navigation & Backlinks

Generated by AI Codebase Knowledge Builder

Full Chapter Map

  1. Chapter 1: Getting Started with PostHog
  2. Chapter 2: Event Tracking & Properties
  3. Chapter 3: User Analytics & Funnels
  4. Chapter 4: Session Recordings
  5. Chapter 5: Feature Flags & Experiments
  6. Chapter 6: Dashboards & Insights
  7. Chapter 7: Advanced Analytics
  8. Chapter 8: Production Deployment

Source References