A/B Testing
Technique for comparing two versions of a feature or product.
A/B Testing is a statistical method used in Agile environments to compare two versions of a product feature, webpage, or application to determine which performs better. It's a data-driven approach to decision-making that helps teams optimize user experience and business outcomes. In an A/B test, u…
Concepts covered: Hypothesis Setting, Multivariate Testing, Validity Threats, Variable Selection, Randomized Division of Audience, Control Groups, Statistical Significance, Follow-up Experiments, Interpretation and Implementation, Measurement
PMI-ACP - A/B Testing Example Questions
Test your knowledge of A/B Testing
Question 1
Your agile team has developed an application for a client. The beta testers from the client's side highlight that the app lacks certain features they expected. What validity threat is posed in this scenario?
Question 2
An Agile team is preparing their product for the first release. They are trying to decide on a measurement that reflects the completeness and readiness of the product. Which measurement would be the best solution?
Question 3
Your Agile team is about to finish a sprint, and some members are concerned the team's velocity is not accurately reflecting the work completed. The team member uses a few charts to represent the progress, but one is suggested as the primary measurement moving forward. Which one could it be?