Early in the development of a new product, the effects of design parameters are not well known. In fact, the ways in which the design can be adapted change over time, so that the list of design parameters also evolves.
A project may use several small empirical studies to investigate the effect of the design parameters. Other activities and insights, together with the results from the empirical test, increase one’s knowledge iteratively. During the sequence of studies, new design features and parameters are introduced along the way, while other design parameters may at some point be fixed and no longer vary in the later tests.
The tests are typically performed to study the impact of design parameters on a CtQ (Critical to Quality) parameter that describes the performance of the prototype product. The impact is described by a transfer function, which is typically built using statistics. The techniques used could be regression analysis and/or design of experiments — topics commonly taught in DfSS and statistical training courses.
Please find an example based on an actual project below.
The structure of the data is the same, the transfer function is fictional.
Click on image to download pdf.