Abstract: Techniques for determining that processing with respect to a user input will result in an error and ranking clusters of features associated with the user input based on a likelihood that the feature caused the error are described. The system receives user input data, extracts features corresponding to the user input data, and clusters the features based on a similarity to features of other user inputs. The resulting clusters and the user input data are processed to determine whether processing of the user input data will result in an error and a list of the clusters ranked based on a likelihood that the corresponding feature caused the error. Based on the ranked list of the clusters, an error type is attributed to the error and steps for re-configuring a component causing the error are determined.