Optimizely has researched the state of experimentation for many years. In a benchmark of over 100,000 experiments, a number of key best practices and common pitfalls were identified that led to the creation of the Problem-First Hypothesis framework. When experimentation groups start, they often see experimentation as a chance to validate or disprove new ideas. Yet high performing teams rarely begin with ideas. Instead, they hone their ability to identify the most critical problems their end users face, and prioritize them to understand the most valuable work they can deliver. In this workshop, we will share how to understand the user journey and prioritize pain points. From there, we practice how to embrace creativity and risk-taking in search of higher-performing outcomes. Teams will spend the session developing hypotheses with the coaching of expert practitioners. At the end, volunteers will have the opportunity to present their experiment design proposal to the group for broader feedback.
Learn More