Learn how to answer A/B testing interview questions to ace your job interview. This article will provide you with commonly asked A/B testing interview questions and how you can answer them.
A/B testing, also called split testing or bucket testing, compares two or more versions of a variable (web page, web element, etc.) against each other to determine which one performs the best. This experiment randomly shows two or more variants of a page (or other variables) to users and analyzes which variation performs better for a given conversion goal through statistical analysis.
Examples of A/B testing jobs are positions in product management or data science.
Common A/B Testing Interview Questions
Below you will find a list of commonly asked A/B testing interview questions that you can use to prepare for your upcoming job interview.
Q1. In your opinion, what are the ideal conditions for A/B testing?
This question can help the interviewer learn more about your knowledge regarding A/B testing and how you conduct your tests. It can also help them understand your workflow and A/B testing process. When you answer this question, ensure that you walk the interviewer through your workflow and provide specific details, if possible.
Example answer: ‘Ideal conditions for A/B testing include having a clear goal and target audience to ensure that the results are actionable and meaningful. Another important condition is sample size to ensure that the results are statistically significant. Enough time to collect data and analyze results is another factor required for optimal results. This means that you need to give the test enough time to run. Finally, it’s essential to ensure that the testing environment is unbiased. You can do this by ensuring that the two versions are identical except for the tested variable.’
Q2. If A/B testing is not an available option, how would you answer a question instead?
This question helps interviewers assess your creative thinking and adaptability skills. Your answer should demonstrate that you are able to think on your feet when needed to get the results to keep moving forward. When preparing for this question, make sure you think of situations you encountered in which you used different tools than A/B testing to get results. An interviewer will likely follow up by asking about this.
Example answer: ‘In my opinion, it is best to use data-driven methods such as analytics and surveys if A/B testing is unavailable. Using analytics, you can gain insights into how users interact with your product, allowing you to answer questions more accurately. Furthermore, surveys can help you better understand your users’ opinions as they provide direct feedback from users. Both methods can give you a good insight into user behavior, allowing you to make better decisions and answer questions more effectively to improve performance.’
Q3. Based on your own experience, what software would you recommend for A/B testing, and why?
This question is a great opportunity to highlight your knowledge of A/B testing software and how you have used those tools to your advantage. Your answer should be honest and make it clear that you are proficient in using commonly used A/B testing software.
Example answer 1: ‘For A/B testing software, I recommend VWO (Visual Website Optimizer). I’ve been using it for a couple of years now and have been very happy with the result. It has an easy-to-use interface and is easy to set up. You can A/B test almost any element on your website, such as text, images, buttons, etc.
As a result, it is perfect for testing different hypotheses, such as which version of your website of web element is the best. Additionally, it can be used to track testing results so that you can make an informed decision based on the results.
In addition to VWO, other popular analytics tools are integrated, so you can get information from those tools to help inform your decisions.’
Example answer 2: ‘For A/B testing software, I recommend using Google Optimize, as I have been using it for some time. Google Optimize offers an intuitive platform for creating, running, and analyzing A/B test results.
The built-in features of multivariate testing and Google Analytics integration make it easy to create and manage experiments. Also, it offers a comprehensive library of helpful resources together with detailed analytics and reporting capabilities to assist you in analyzing and interpreting results. These are really great features that can help you make better decisions.
Another feature I like is the website optimization tool’s user-friendly interface. This makes it easy for team members to collaborate within the same organization.’
Q4. How would you go about learning a newly released A/B testing tool?
Interviewers use this question to assess your adaptability skills. They are looking for a clear answer that explains how you usually learn a new tool. This way, they know that you have actually been in such a situation before. It’s also a great opportunity to ask the interviewer about the tools they are currently using.
Example answer: ”I usually start by reading up on the features and capabilities of the newer A/B testing tool. This will help me understand what types of tests can be run and what data can be collected. Next, I view tutorials and read guides to understand how the tool works. Once I feel comfortable using the tool, I run some practice tests to see how everything works and what features can be used. These actions will help me better understand how the tool works and how to interpret the results. With practice and patience, I’m sure I can use different and new tools effectively and gain valuable insights from the new A/B testing results.’
Q5. In an A/B test, how can you check if assignment to the various buckets was truly random?
This question is asked by interviewers to assess whether or not you truly understand how to conduct random testing to get the best results. Your answer should demonstrate that you possess essential data science knowledge. Focus on giving an answer that shows that you understand A/B testing concepts and can approach testing in a structured manner.
Example answer: ‘I usually follow several steps to ensure that the bucket assignment was truly random in an A/B test. In order to determine if there are statistically significant differences between two or more groups, the data could be analyzed using the chi-square test or Fisher’s exact test. Both tests of independence can be used to determine if there are statistically significant differences. Also, it is possible to determine if the distribution was truly random by comparing the average value of each bucket. If the average values of each bucket are significantly different from each other, this may indicate that the buckets were not randomly assigned. As a final step, conducting a survey of the participants in the A/B test can also help determine whether the bucket assignments are random.’