Research in the field of translation studies suggests that translation product features can indicate translation difficulty. In the current pilot study, the authors investigate three of these features, namely the number of errors made in a translation, word translation entropy and degree of syntactic equivalence. They correlate these translation product features with translation process features that can be put together into three categories: duration, revision and gaze information. These features serve as a proxy for the cognitive effort required to solve difficulties in translation. The data that they used was gathered from professional translators as well as students of translation studies. The product data contains manual error annotations of the translations, automatically calculated entropy values and syntactic re-ordering metrics. The process data are derived from keystroke and eye-tracking data gathered during the translation process. By correlating product and process data, they inspect how translation difficulty is reflected in the translation process and whether it is feasible to use product features to predict difficulties in translation. In addition, they also compare data of professional translators and students. The researchers show that correlations between process and product features exist, which opens many doors to further research on translatability.