"user questionnaire" is a correct and commonly used phrase in written English.
It refers to a set of questions or a survey designed to gather information or feedback from users of a product, service, or system. Example: Please fill out this user questionnaire to help us improve our website and better meet your needs.
Evaluating the system's performance and the users contentedness, we compared 50 nutrition plans calculated in parallel using VIE-PNN or a hand-held calculator, retrospectively analyzed more than 5000 nutrition plans stored in VIE-PNNs database and evaluated a user questionnaire.
Besides, the author used a user questionnaire to assign the importance of all criteria.
This could be based on a user questionnaire, guiding users to help them figure out their own goals, then making recommendations based on those goals.
While including traditional data on hundreds of American colleges and universities, perhaps most interesting and useful is the website's user questionnaire that surveys a university's current and former student users.
The service user questionnaire will be translated for use in each participating centre and back-translated.
A lower proportion of RBR user questionnaire respondents were in solo practice (15%) than in the NPS database (30%).
Through user questionnaires and observations carried out at the National Cancer Institute (NCI) and the University of Washington Foundational Model of Anatomy (FMA) Project, we have begun to gain an understanding of the cognitive barriers experienced by the users of knowledge engineering tools.
Additionally, we expanded the domain knowledge by identifying medically relevant structural questions for the human, the mouse, and the rat, and made an initial foray into the validation of the application and its content by means of user questionnaires, software testing, and other feedback.
Similar applications are also considered in [29] and their relevance evaluated with user questionnaires.
Due to the nature of the construct "comfort", data on comfort is strongly based on qualitative data, frequently collected with the help of road user questionnaires and observations in the public space, or based on check list rankings.
Parts of the systems have been evaluated using user questionnaires and in a 'machine learning setting' (Aronson et al., 2004; Kim et al., 2001).
