PostItFlow: An Early Study on Agent-Based Workflow for Enhancing and Visualizing User Stories

Abstract

Incomplete or missing requirements are a primary cause of project failure. During the initial phase of requirements elicitation, shortcomings frequently arise due to stakeholders’ differing perspectives and the predominance of elicitation methods that emphasize textual extraction. To address this challenge, we introduce PostItFlow, an AI agent-based workflow designed to provide a simple, easy-to-generate, and holistic visual overview of requirements. PostItFlow visualizes events and interactions among components, systems, and entities within a collection of user stories under an epic. Its objective is to reduce missed and incomplete requirements at the early stages of elicitation by offering a practical visual aid that can be utilized by both customers and requirements engineering (RE) practitioners. The visual output is produced through four progressive steps using GPT-5: (i) finalizing the given epic by adding supplementary stories where necessary, (ii) integrating a potential timeline that reflects the phases of the user story flow, (iii) enriching events related to entities or components with additional details, and (iv) generating the HTML-based visual output. We also demonstrate our workflow using a selected case study. This workflow will undergo industrial testing, with further enhancements guided by evaluations of usability, accuracy, and relevance to the information visualized. The prototype has been published as open source on Zenodo.