Nine Experimentation Best Practices

Running experiments helps bridge gaps between technical and business teams by validating user engagement patterns and application behavior. Experiments can validate that development efforts align with business objectives, using metrics to test hypotheses about feature development processes. To create a good experiment, consider best practices such as creating a culture of experimentation, defining success, ensuring statistical significance, proper segmentation, recognizing biases, and conducting retrospectives. Feature flags are crucial for well-run experiments, with best practices including considering experiments during the planning phase, empowering others to run experiments while avoiding technical debt, and removing feature flags after an experiment is completed or not released.

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