The document discusses various techniques for splitting user stories into smaller stories. It provides examples of how to split stories based on workflows, data elements, different cases or scenarios, interfaces and storage, dynamic parameters, multiple options, acceptance criteria, and investigative spikes. The goal is to create granular, independently testable stories that can be planned and delivered incrementally. Links to additional resources on story splitting techniques are also included.