Poorly planned experiments waste time and lead to bad decisions.

In this free guide: 7 Steps to Better Experiment Design,  Luke Sonnet shares best practices from his experience at X/Twitter, Facebook, and GrowthBook in a practical, easy-to-follow checklist that helps you:

• Design experiments that produce statistically valid insights
• Avoid false positives and inconclusive results
• Build confidence in your data and decision-making

It’s the ultimate pre-flight checklist for engineers who want to move fast without breaking their analytics.

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When it comes to AI, evals are just the tip of the iceberg.  A/B testing is where real value gets created.  

This guide to AI and A/B Testing covers how leading AI companies are using A/B testing to identify and unlock value for users.  In this guide, we will cover how companies can:

• Go beyond vibe checks to maximize customer outcomes
• Tune AI responses across thousands of use cases
• Determine how and when to best use personalization
• Increase engagement while lowering token usage