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A/B Testing Framework
An A/B testing framework is the methodology you follow to make sure experiments are run properly and results can be trusted. It starts with defining a clear hypothesis (e.g., “simplifying the checkout page will increase completed purchases”), setting goals, and ensuring fair traffic randomization.
For example, a SaaS company might standardize every test: document the idea, define metrics, run the test long enough, and then log the results for future reference. This reduces bias, avoids premature conclusions, and builds a repeatable process. A strong framework not only boosts confidence in results but also helps scale testing across teams.
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