Rohan Cohen

Honestly, if we hadn't already spent time on the idea that this application analysis directly influenced the holiday survey, would we really believe it? For the benchmark of existing solutions to shape a survey on planning difficulties, an explicit link or bridge is needed. If the survey questions were directly modeled on identified gaps, that's one thing; otherwise, it looks more like a coincidence than a cause. For example, if the analysis showed no one manages visas, and the survey asked exactly if visas are stressful, then yes, there is influence.

Honestly, 78 responses to a survey on vacation preparation is like building a skyscraper after reading only one book on architecture, even if that book is very well written. If we hadn't already sunk effort into analyzing travel applications, would we have settled for such a small sample for a user difficulties study? The influence is there, yes, but it remains very conditional; a real test bench is needed to know if the initial observations hold water. You can't just walk away from this market analysis by claiming it influenced everything without more evidence.

The idea that a comparative analysis influenced a survey doesn't hold if we had to have the survey itself before starting.
Honestly, would we launch a survey with only 78 responses if we hadn't already invested in the idea of validating initial conclusions?
It should be looked at with fresh eyes; such a sample is like asking just a few people in a café if they like a new menu for the whole restaurant.
For influence to be real and significant, a larger volume of data—say 500 responses—would be needed; otherwise, we can't really stand on this conclusion.

Honestly, seeing the comparative analysis influence a survey of 78 responses is like claiming that checking the weather makes it rain.
If we hadn't already spent time and money on this app analysis, would we really come back just to do a survey, or just to have the idea?
Influence is conditional; it only becomes real if we actively decide to use the data, for example by asking specific questions about the lack of luggage management tools.
Otherwise, it's just coincidence, not a direct impact.

Claiming that the comparative analysis influenced the survey design is a bit weak, especially when you see the 78 responses.
If we hadn't already invested time in this analysis, would we draw the same conclusions for such a limited survey?
It's the irrecoverable cost that sometimes pushes us to defend an influence link.
A true influence would be seen in a more ambitious survey methodology, not just a simple Google Forms with such a small sample.

While you indicate that a survey of 78 people forms the basis to assert that 75% of people check their travel documents in advance, it is important to nuance whether this sample is truly representative.
Can we really generalize the behavior of millions of travelers from such a small and specific group?
For me, it lacks statistical reliability to make it a general rule, especially since administrative procedures, like renewing a child's ID card, can take weeks depending on the municipality, making anticipation mandatory for most families, not a choice.
Without knowing the composition of the sample, it’s hard to tell if these 78 people reflect the reality of families with children or single young adults.
This makes the data more of an interesting hypothesis than a solid conclusion.