A social media company wants to improve user engagement on its platform. They have implemented a new feature and are monitoring its effect on two key metrics: daily logins and time spent per user. They collected data for one month before the feature launch (control group) and one month after (treatment group). The data shows a statistically significant increase in daily logins for the treatment group compared to the control group. However, there is no significant difference in time spent per user between the groups.

How can the company use statistical analysis to determine if the increase in daily logins is truly due to the new feature, or if it could be caused by other external factors that happened to coincide with the launch?