Experimental Study in Tech: A/B Testing Structure
<p>By conducting experiments on a small group of users (artificial intervention), estimate the <strong>causal effect of X</strong> intervention on business metric Y, to guide future company strategies.</p>
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<li>In tech industry, X can be new feature in web/app, new product or new promotion strategy etc. Y can be conversion, user engagement etc.</li>
<li>In clinical industry, X can be a new drug, new dose or new treatment strategy etc. Y can be side effects, event rates, health condition etc.</li>
<li>For the success of experimental study, in addition to mastering the statistical foundation of experimental research, it is also necessary to have <strong>specific domain knowledge</strong> in specific industries and projects, such as understanding of variables and characteristics of user behavior. Because these are the key factors in experimental design and post-test analysis.</li>
</ul>
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