GrowthBook

Most experimentation programs start the same way. A few A/B tests. Some promising results. Then the hard part begins: scaling it across teams. Adding AI features and software takes scaling to a new level: rapid iterations, experiment velocity, and responding to non-deterministic outcomes. In our next GrowthBook webinar, Kelli H. shares how Khan Academy built an experimentation culture across teams. She’ll also discuss how they’re now experimenting with Khanmigo, their generative AI tutor. Learn how her team uses GrowthBook experimentation, feature flags, and product analytics to measure: ➡️ Learning quality ➡️ Responsible AI behavior ➡️ Prompt and model performance ➡️ Real student outcomes If you’re a data scientist or product engineer building AI systems, this will be a fascinating look inside one of the most thoughtful experimentation programs in education.

Only one snapshot so far — the engagement-over-time curve appears once the daily scrape has captured this post at least twice.