Statsig has enhanced its Sequential Testing methodology to enable faster and more efficient decision-making in online A/B tests by adopting the mSPRT (mixture Probability Sequential Ratio Test) approach, which maintains a strict false positive rate (FPR) cap even with continuous monitoring. This method provides higher statistical power during the initial stages of an experiment, which is particularly beneficial for early regression detection or when the key metric shows a larger-than-expected effect. The new methodology consistently demonstrates a lower FPR compared to traditional fixed-horizon tests and the previous approach while allowing for early identification of statistically significant results, facilitating early decision-making without inflating FPR. Despite offering reduced overall statistical power compared to fixed-horizon tests, Sequential Testing is most effective when focusing on a single metric and is recommended for early ship decisions when experiment duration or opportunity costs are factors. The methodology is validated through extensive testing using simulated and real-world data, confirming its reliability and effectiveness in preserving the desired FPR.