As machine translation (MT) is being more tightly integrated into modern CAT-based translation workflows, measuring and increasing MT efficiency has become one of the main concerns of LSPs and companies trying to optimise their processes in terms of quality and performance. When it comes to measur-ing MT efficiency, STAR’s CAT tool Transit NXT offers post-editing distance (PED) and MT error categorisation as two core features of Transit’s compre-hensive QA module. With DeepL glossa-ry integration and MT confidence scores, translators will also have access to two new features which can help them in-crease their MT post-editing efficiency.