29 courses available — master experimentation, growth, and more.
You don't need 1M users to experiment. Practical experimentation techniques for early-stage products with limited traffic.
Reframe your team's relationship with experiments. It's not about winning — it's about learning faster than the competition.
Run experiments responsibly. Navigate consent, dark patterns, and the ethical boundaries of behavioral manipulation.
Running 100+ experiments concurrently. Manage complexity, prevent interactions, and maintain velocity as your program grows.
Move beyond a central experimentation team. Enable every PM, designer, and engineer to run experiments independently.
Transform your organization from opinion-driven to evidence-driven. The hardest and most impactful change you can make.
Ready-to-use metric definitions for common experiment types. Copy, adapt, and ship experiments faster.
Measure and optimize the metrics that keep the business alive. From ARPU to LTV, master the math of making money.
Garbage in, garbage out. Ensure your experiment data is trustworthy with rigorous data quality practices.
When you can't run an experiment, you can still make causal claims. Learn quasi-experimental methods for real-world product decisions.
Define the right metrics for your product and experiments. Move beyond vanity metrics to measurements that drive decisions.
Send the right message to the right person at the right time. Data-driven approaches to push, email, and in-app notifications.
Win back churned users and reactivate dormant ones. Data-driven strategies for email, push, and in-app re-engagement.
Move beyond superficial points and badges. Learn gamification systems that genuinely improve engagement and learning outcomes.
Apply behavioral science to create products users love and return to. Based on the Hook Model and modern behavioral design.
Retention is the foundation of sustainable growth. Learn to measure, diagnose, and improve how users come back.
Build a diversified acquisition engine. Evaluate channels, run experiments across them, and scale what works.
PLG meets the enterprise. Navigate the unique challenges of bottom-up adoption in organizations with complex buying processes.
Systematic approaches to improving conversion at every stage of the user journey, backed by data and experimentation.
Stop thinking in funnels. Learn to design self-reinforcing growth loops that compound over time.
First impressions make or break products. Learn to design, measure, and continuously improve user onboarding flows.
The definitive guide to building self-serve products that sell themselves. From free trials to enterprise upsell.
Run experiments in your backend without client-side flicker. The engineering guide to server-side A/B testing.
Unique challenges of running experiments on mobile: app store reviews, update cycles, client-side caching, and small samples.
Ship with confidence using feature flags, percentage rollouts, and kill switches. The safety net every engineering team needs.
The statistics you actually need to run experiments well. No PhD required — just practical knowledge for product teams.
Learn the architecture and engineering principles behind world-class experimentation platforms used at tech giants.
Go beyond simple A/B tests. Learn multi-armed bandits, factorial experiments, switchback designs, and when to use each approach.
Master the core principles of online controlled experiments. Learn how to design, run, and analyze A/B tests that produce trustworthy results.
