The scope of the sample database is limited to its own platform - for the questionnaires filled out by more than 1 million people on the Special Database Questionnaire Star platform every day, and the 2.6 million sample database members, the Questionnaire Star will randomly invite some of them to join the sample database. Enterprises need to pay to use the platform's sample services. Its official website shows that it can locate the target population through several sample attributes such as gender, age, user location, and identity. Although the questionnaire Special Database survey is conducted on a million-level user sample, it still has certain precision delivery and effect tracking capabilities.
But due to the limited sample size, the sampling range is narrow, there is no obvious distinction between different industries, and Special Database the needs of different enterprises cannot be targeted. It shows that the quality of service is uncontrollable. Of course, Questionnaire still adopts the means of sample quality control to defend against fake users and sample quality. Questionnaire Star controls sample quality in four steps: Questionnaires are distributed to those who meet the requirements; In the process of filling in, control and set various rules A. Automatic Special Database screening rules: support a variety of invalid answer screening; B. Option quota rules: you can set quotas for any single-choice option; C.
Answer time control: set The shortest answering time or the longest answering time; D. Randomly adjust the order: support Special Database random adjustment of the order of questions or options; E. The same IP address, the same computer, and the same user name can only be filled in once); system screening; After manual screening, a valid sample is finally formed. Three generations of evolution of online questionnaire sample database, who can represent the future? However, in the case of a small sample size, it is difficult to achieve higher accuracy Special Database in questionnaire surveys for different industries. It is also difficult to see precise sampling conditions in the control process of sample quality.