This document provides guidance on developing strong hypotheses for conversion testing. It emphasizes that a hypothesis should propose a specific solution and anticipate measurable results, with a stated reason for the expected outcome. The document then lists various factors to consider when formulating hypotheses, such as customer behavior insights, testing different page elements like headlines, calls to action, and pricing options. It stresses that hypotheses should be bold enough to potentially change behavior but grounded in evidence from analytics and prior research. Interpreting test results requires examining both numbers and the human behavior behind them to learn lessons.