Jian Patel

If I understand correctly, you believe that data from a survey, like the 78 responses obtained via Google Forms, can describe behaviors but struggle to explain the deep why behind individuals’ actions. You are absolutely right, underlying motivations are often more nuanced than raw numbers can reveal. Moreover, it’s important to note that the age of participants (18-50 years) could introduce a generational bias, as travel planning habits of older people might differ significantly, adding another layer of complexity to behavioral analysis.

Pushing towards the performance summit involves not stopping at a simple survey.
How can we assert with such certainty a specific behavior, like identity document verification, based solely on 78 responses from Google Forms?
To unlock maximum performance, we need more robust data, direct observations, or case studies that demonstrate the real impact of these anticipatory verifications.
For example, instead of just asking, we should analyze border incidents for those who verify late, and compare with those who check in advance to see the concrete difference.

Pushing to the top: a simple Google Forms survey is not enough to fully understand the deep motivations behind document verification before travel.
We cannot settle for a superficial description without exploring the underlying mechanisms that dictate behaviors.
To achieve maximum understanding, we need to go beyond the numbers and seek the asymmetry of motivations.
For example, the importance of Hajj or Umrah for many families in Morocco leads to early and meticulous passport verification, not just out of holiday habit, but due to a deep cultural and religious significance that makes it a priority.