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In case a working prototype exists, or even a product, effects of the information technology can be assessed “in real life”. Such an assessment in “real life” can be done with an experiment. This contribution describes how to design an experiment and how to prevent pitfalls, introduced by various causes of bias. In this respect internal validity and external validity are distinguished. It is concluded that the best study design depends on the focus and the boundary conditions in each individual setting. As a general rule it is recommended to consider all possible causes for bias, to eliminate or minimize bias where possible for example using specific study designs and statistics, or to take bias into account in interpreting results.
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