Experimentation

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Experimentation is how teams learn what actually works by running controlled tests. Instead of betting on one big launch, they make a change based on a hypothesis and measure what happens. Lean Startup popularized this as the build-measure-learn loop, where the goal is validated learning. In product work, experimentation often uses limited rollouts or A/B tests so impact can be measured without exposing everyone to risk at once.

Good experimentation depends on clean measurement and careful interpretation. A test can be misleading if the metric is wrong, the sample is biased, or the result is too small to trust. Over time, a strong experimentation habit builds a product strategy that is grounded in results.

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