Convert text to stories
Our AI helps to detect entities and create stories out of text, referencing the original text.
Step 1: Text Analysis and Entity Detection
The intended workflow in storywise starts with an analysis of any kind of description of the target product, usually delivered by a customer. Our software applies machine learning techniques to identify various entities and personas in written text. These entities can be software features, user actions, and more. Personas are a special type of entity, for example different users or roles involved in the planned product.
Step 2: User Validation and Synonym Identification
After identifying entities and personas, the next step involves user interaction by verification of identified entities and personas as well as instructing the system about synonymously used terms. This helps to refine the subsequent stages of story creation.
Step 3: Sentence Utilization
As a third step, the sentences of the original text that have not been used in the story generation process before, are now analysed manually. storywise allows to either assign stories to these sentences or not; in any case, those sentences are stored to be used later or to be finally dismissed. This step ensures that every sentence of the customers description is considered and no valuable information is missing.
Step 4: Preview and Approval of Generated Stories
Finally, a preview of the generated user stories is displayed, and stories can be reviewed and accepted in case that they reflect the requirements correctly. This stage marks the successful transformation of an unstructured description into structured user stories.
Free for small projects