The fourth step is to design your experiment that will test your hypothesis. Your hypothesis should be a clear and testable statement that predicts how your independent variable will affect your dependent variables. For example, you could hypothesize that changing the headline of the landing page from "Learn how to master marketing analytics" to "Become a marketing analytics expert in 30 days" will increase the conversion rate by 10%. To design your experiment, you need to determine the type of experiment, sample size, segmentation, allocation, and duration. The type of experiment can be chosen based on the research question, resources, and complexity. The sample size should be estimated using online calculators or formulas based on the expected effect size, baseline conversion rate, and confidence level. Segmentation can be done using random or stratified sampling methods to ensure comparable groups. Allocation can be done using equal or unequal methods to balance groups and optimize resources. The duration should be estimated using online calculators or formulas based on sample size, expected conversion rate, and confidence level. Reporting and documenting the incident will help you inform and reassure stakeholders, as well as provide valuable insights for improving cloud security posture.