Gist: The post explains how A/B test length depends on traffic, effect size, significance, and power, and argues for calculating duration before launching experiments. It emphasizes setting a committed run length to avoid noisy, misleading results.
Signal reason: The primary subject is guidance on a product capability area: A/B test duration calculation and experimentation planning.
