ENThis paper adapts the Multi-Directional Efficiency Analysis (MEA) to include the operational environment that evaluated observations are working in. In particular, we apply the idea of the conditional efficiency framework to the MEA approach to ensure that observations are compared to their homogeneous counterparts. Moreover, this paper shows that combining the traditional one-directional and multi-directional efficiency framework yields valuable insights. It allows one to identify what factors matter in terms of output production and input consumption. The application deals with Lithuanian family farms, for which we have a rich dataset. The results indicate that the output efficiency positively correlates to a time trend and negatively to the subsidy share in the total output. The MEA-based analysis further suggests that the time trend has been positively affecting the productive efficiency due to increase in the labour use efficiency. Meanwhile, the increasing subsidy rate has a negative influence upon MEA efficiencies associated with all the inputs. Keywords: Data envelopment analysis; Order-m measures; Multi-directional efficiency analysis; Conditional measures; Farming efficiency. [From the publication]