In this paper, we present a method that enables the designer to investigate a spoken dialogue systems performance by employing diagnostic evaluation during the initial phases of the systems development. Results from glass box assessment (e.g.. recognition success rate), combined with the dialogue strategy in the proposed mathematical model, can be used to predict the systems performance. The model incorporates erroneous confirmations by the user, which affect the overall performance.