A/B Testing

Technique for comparing two versions of a feature or product.

A/B Testing is an essential Agile practice which involves comparing two versions of a feature or product, a version A and a version B, with live users to determine which one performs better. It is an efficient way of testing new ideas and improvements, making data-informed decisions and continually learning about user behaviors and preferences.
5 minutes 5 Questions

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

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PMI-ACP - A/B Testing Example Questions

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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?

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More A/B Testing questions
88 questions (total)