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