To start, I would certainly examine user behavior metrics, particularly the frequency and duration of views on current Stories. An increase in the expiration time should ideally result in more views; however, it may also lead to a decrease in the average view duration per story, as users could distribute their viewing time over an extended period. Next, I would analyze metrics that reflect the amount of content created and shared through Stories. A change in expiration time could influence both the quantity and quality of Stories that users share. My focus here would be on the total number of Stories posted per user, the frequency of batch posting (i.e., when users upload several Stories at once), and the rate of repeat usage. It would also be beneficial to assess reaction metrics, such as direct messages and the responses generated by Stories, since a longer expiration time might impact the level of engagement a Story garners. Evaluating the potential trade-offs between the extended availability of Stories and the possible reduction in user engagement would be essential. Lastly, we should consider competitive data—if other platforms are providing longer or even unlimited expiration times, we need to determine whether Instagram is losing users as a result.