Abstract: An ordered set of root cause analysis (RCA) document entry criteria is identified. RCA input segments are specified using unstructured natural language input, including at least: incident descriptive elements, a single problem statement, a set of why questions and answers, and a single cause categorization. A guided input sequence of the RCA input segments is performed interactively with a user. Quality indicators of content of user input entered during a respective RCA input segment are determined using a scoring algorithm, and the user is assisted with improving precision and consistency of the user input. Responsive to a threshold of consistent user input across the RCA input segments resulting in identification of a single cause categorization of an information technology (IT) problem, an RCA document is generated that identifies the single cause categorization of the new IT problem.

Abstract: An ordered set of root cause analysis (RCA) document entry criteria is identified. RCA input segments are specified using unstructured natural language input, including at least: incident descriptive elements, a single problem statement, a set of why questions and answers, and a single cause categorization. A guided input sequence of the RCA input segments is performed interactively with a user. Quality indicators of content of user input entered during a respective RCA input segment are determined using a scoring algorithm, and the user is assisted with improving precision and consistency of the user input. Responsive to a threshold of consistent user input across the RCA input segments resulting in identification of a single cause categorization of an information technology (IT) problem, an RCA document is generated that identifies the single cause categorization of the new IT problem.