When running an experimentation program, oftentimes we're stuck figuring out what to experiment on. There isn't a shortage of ideas out there, but understanding what to experiment on that makes the most sense for your product and which growth levers to focus on can be an issue.
After years of posting about A/B test ideas on the Taplytics blog, and the case studies that accompany them, we've decided to build Really Good A/B Tests as a library and resource for the growth community. It's been a labor of love and we hope to inspire you with a seedling of an idea for your team to execute and learn from.
Cheers!