Sara Nguyen

The claim that comparative analysis of travel applications influenced subsequent surveys lacks tangible evidence of a clear process. Where are the minutes of meetings or validation reports detailing how the conclusions of the benchmark were integrated into the questionnaire design? For influence to be established, a decision chain must be documented, showing, for example, formal approval of the survey plan based on these results. Without a clear RACI or sign-off on the methodology, we cannot assert a direct causality; it might just be a thematic coincidence. For example, if the questionnaire was finalized before the benchmark was even reviewed, the influence would logically be null.

Claiming that a comparative analysis of apps directly influences a survey with only 78 responses is a dangerous oversimplification of data governance. Such influence depends on a rigorous methodological validation, including proof of sample representativeness. Without a documented protocol explaining how conclusions were integrated and a clear sign-off on the methodology, the assertion remains ad-hoc and cannot be accepted as a basis for an informed decision. For example, if these 78 responses are used to launch a new service, there is a risk of missing the real needs of the majority of users.

The idea that analyzing travel apps has not directly influenced the survey is absurd without concrete proof of a formal decision to ignore it.
A clear process is necessary to establish traceability and ownership between these steps.
A simple market analysis report without sign-off and without a governance meeting to formalize decisions is not a sufficient input to say that influence does not exist.
For example, for launching a new service, one cannot claim that the feasibility study did not influence the business plan if a decision to ignore its conclusions has not been documented.

The figure of 78 responses to the survey, although respectable, is not enough to establish a direct influence between the comparative analysis of travel applications and the questionnaire. For this, a clear process is necessary: who validated the conclusions of the analysis and how were they formally translated into directives for the Google Forms survey design? Without a scoping document or a meeting minutes attesting to this traceability, the link remains a guess, as if, for example, the analysis had identified a lack of tools for visa management, but the survey did not specifically mention it. This influence is therefore conditional on an explicit documentation of the knowledge transfers.

The idea that a comparative analysis could influence a survey of 78 responses is plausible, but it requires a clear validation process so that the influence is more than coincidental. It would need a validated specification document, with a clearly defined property, detailing how the analysis conclusions were integrated into the survey questions. Without this sign-off, we cannot guarantee that the collected data truly address the identified gaps. For example, if the analysis showed a need for route planning tools, the survey should have specific questions about that, approved by the project manager.

The idea that the comparative analysis of travel apps directly influenced the 78-response survey seems too quick to me, without a clear documentary trace between the two.
A research protocol requires a chain of command where each step is validated and documented.
We should see a detailed formal specification outlining how gaps identified in the analysis were translated into survey questions, with a clear sign-off.
Without an explicit validation plan, the influence remains anecdotal, as if using a market study to justify a quick survey without real alignment.
For example, if the analysis had shown a need for a specific feature, the survey should have direct, detailed questions about that feature, with precise and approved survey objectives.

The idea that a comparative analysis directly influenced the design of a Google Forms survey is very optimistic without a clear validation process.
Who gave the sign-off for the analysis conclusions to be integrated into the survey questions?
Without a traceability document of decisions, a simple influence link is an unproven assertion; it's like saying today's rain is due to yesterday's weather without a synoptic chart.
A formal deliberation or a memo showing how the analysis results were translated into specific objectives for the 78-response questionnaire would be necessary.
A RACI (Responsible, Approve, Consult, Inform) for this decision would be a much more robust proof.

Yes, it's clear that these platforms can do much more than just identify festivals, but institutional constraints are the weak link here. The problem is when flights are sold through online travel agencies (OTAs) that are not always up to date. I've seen prices displayed that were no longer available once the transaction was initiated, especially for the most aggressive offers. That's the breaking point of these brilliant tools.