In this paper we discuss an ongoing multi-year project that aims to make open text feedback more accessible and useful to UX practitioners by automating classification and providing real time access to comments, themes, and analysis. By significantly lowering the time and knowledge cost of implementing automated solutions, we aim to effectively democratize our data analysis processes, allowing and encouraging non-technical stakeholders to access and leverage data on their own. We share both the organizational and technical constraints we have encountered over the course of this project, and the solutions we have prototyped as a result of those constraints.

翻译：本文讨论了一项持续多年的项目，该项目旨在通过自动化分类并提供对评论、主题和分析的实时访问，使开放文本反馈对用户体验从业者更易获取和有用。通过显著降低实施自动化解决方案的时间和知识成本，我们力求有效普及数据分析流程，允许并鼓励非技术利益相关者自主访问和利用数据。我们分享了该项目过程中遇到的组织和技术约束，以及由此产生的原型解决方案。