Abstract: Embodiments described herein are generally directed to various use cases involving turning text data into actionable evidence. According to an example, text-based information relating to an issue associated with a product or service of a vendor is receive via a self-service SaaS portal and includes one or both of structured data and unstructured data. The text-based information is classified and analyzed by parsing out a first set of facts from the structured data. A second set of facts is identified by applying a taxonomy to the text-based information. A lookup value is created by aggregating the first and second sets of facts. Guidance, representing a proposed resolution of the issue, a recommended next troubleshooting step in connection with evaluation of the issue, or other guidance relating to the issue, is then extracted from a lookup table based on the lookup value.