\u201cResearch\u201d often means “identify problems to solve.” But it can also mean “verify that proposed solutions actually solve problems.”<\/p>\n\n\n\n
The most buzzy way to get that validation is via A\/B testing. But many don’t have the budget, appetite, time, or team to even get started.<\/p>\n\n\n\n
Enter: Rapid testing.<\/p>\n\n\n\n
Like A\/B testing, rapid testing helps you understand if your solutions are actually working.<\/p>\n\n\n\n
Unlike A\/B testing, rapid tests are fast, done with small sample sizes, and offer a level of qualitative insight not afforded via experimentation alone.<\/p>\n\n\n\n
Rapid testing is no substitute for A\/B testing, but it has a ton of applications:<\/p>\n\n\n\n
Think of it as your canary in the coal mine. A utility to mitigate the risk of feature flop.<\/p>\n\n\n\n
In this article, we\u2019ll explore what rapid experimentation is, its benefits, the types of rapid tests you can run, and when to use each. If you\u2019re looking to de-risk your decisions and innovate faster, keep reading for a framework to get you started.<\/p>\n\n\n\n