In online surveys, it’s necessary to devise methods to prevent or exclude “deception” monitors who provide false responses to the survey to ensure that they do not participate (or if they do, they can be excluded). This involves refining the survey design and monitor management to ensure that monitors who provide inaccurate responses do not participate.
At ASMARQ, we have been particular about the quality of monitor members since our establishment, so the most of our participants are decent members who participate with the mindset of ‘purely wanting to assist with the survey.’ However, unfortunately, there are cases where monitors provide false answers likely to qualify for incentive.
To prevent “deception” applications, we would like to provide some examples.
“We want to gather only those who are currently using Product B!”
In addition to basic measures, there have been cases where applicants were asked to provide the JAN code (product number) of the product at the time of application to further enhance credibility. This approach is effective when targeting individuals who currently have the product and are using it, regardless of whether it’s at home or at work. By requiring applicants to check the product package and input the code, more reliable responses can be collected. (Including some form of FA is more effective, because monitors who provide careless responses often input random characters such as “aaaa” or “1111” without reading the question)
Furthermore, if the target product is relatively new, asking questions such as “when did you first purchase it,” “where did you purchase it,” or “how long have you been using it” can serve as indicators. (Responses that clearly deviate from the release date can be considered likely to have been answered arbitrarily.)
The above are just examples of measures. Generally, we create surveys based on the survey forms provided by our clients. If you would like specific examples or advice, please feel free to contact us.