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PostHog Tutorial |
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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
Welcome to your journey through modern product analytics! This tutorial explores how to master PostHog for building data-driven products.
- Chapter 1: Getting Started with PostHog - Installation, setup, and first event tracking
- Chapter 2: Event Tracking & Properties - Implementing comprehensive event tracking
- Chapter 3: User Analytics & Funnels - Understanding user behavior and conversion flows
- Chapter 4: Session Recordings - Analyzing user sessions and interactions
- Chapter 5: Feature Flags & Experiments - A/B testing and feature rollouts
- Chapter 6: Dashboards & Insights - Creating custom analytics dashboards
- Chapter 7: Advanced Analytics - Cohort analysis and advanced queries
- Chapter 8: Production Deployment - Scaling analytics for production applications
- repository:
PostHog/posthog - stars: about 32k
- latest release:
posthog-cli-v0.7.1(published 2026-03-05)
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
- Basic JavaScript/TypeScript knowledge
- Understanding of web development
- Familiarity with REST APIs
- Basic understanding of analytics concepts
Perfect for developers new to product analytics:
- Chapters 1-2: Setup and basic event tracking
- Focus on implementing analytics in your application
For product managers and developers:
- Chapters 3-5: User analysis, sessions, and feature flags
- Learn to derive insights from user behavior
For analytics engineers and data teams:
- Chapters 6-8: Advanced dashboards, analytics, and scaling
- Master enterprise-grade product analytics
Ready to build data-driven products with PostHog? Let's begin with Chapter 1: Getting Started!
- Start Here: Chapter 1: Getting Started with PostHog
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