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This essay is a survey of thirteen user studies performed in the field of image retrieval. The purpose is to try to distinguish principles that should be kept in mind when wanting to make image databases available for a wide and varied group of users. The essay tries to answer two questions, namely: Are there any results in accordance among the different studies? What in the user studies should be considered when it comes to how content description, interface and functions for searching can be designed when creating systems for image retrieval? Each study is first reviewed on its own, and then a comparative analysis of all the studies is carried out. Derived from the result of this analysis, the conclusion is presented in the form of a row of suggestions to which aspects are to be suitably included in the design of image databases. The results show that actual object and people is the most prominently used content descriptor followed by descriptors for time, location and event. Abstract elements is found to be a descriptor not commonly or even readily used. Being able to compare images visually on-screen, the possibility to decide in which order the retrieved images are shown and the inclusion of CBIR-techniques are some of the components found to be important when it comes to interface. When it comes to search functions filters, truncation and subject searching are among the functions that are found important.