# PersonaGen: A Tool for Generating Personas from User Feedback

arXiv: https://arxiv.org/abs/2307.00390 · HTML: https://mlsanity.com/paper/2307.00390/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Jul 2023.

## Built on by (most cited first, 6 of 6)

- [A Vision for Operationalising Diversity and Inclusion in AI](https://mlsanity.com/paper/2312.06074/) (2023)
- [PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG](https://mlsanity.com/paper/2505.17156/) (2025)
- [StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation](https://mlsanity.com/paper/2508.03182/) (2025)
- [How to Model AI Agents as Personas?: Applying the Persona Ecosystem Playground to 41,300 Posts on Moltbook for Behavioral Insights](https://mlsanity.com/paper/2603.03140/) (2026)
- [Agentic Persona Generation with Critique-Refinement: An Industrial Evaluation](https://mlsanity.com/paper/2606.09637/) (2026)
- [How Well Can AI Generate Backlogs from App Mockups?](https://mlsanity.com/paper/2607.22902/) (2026)

## Abstract (arXiv)

Personas are crucial in software development processes, particularly in agile settings. However, no effective tools are available for generating personas from user feedback in agile software development processes. To fill this gap, we propose a novel tool that uses the GPT-4 model and knowledge graph to generate persona templates from well-processed user feedback, facilitating requirement analysis in agile software development processes. We developed a tool called PersonaGen. We evaluated PersonaGen using qualitative feedback from a small-scale user study involving student software projects. The results were mixed, highlighting challenges in persona-based educational practice and addressing non-functional requirements.