Impact of a Deployed LLM Survey Creation Tool through the IS Success Model

Peng Jiang; Vinicius Cezar Monteiro de Lira; Antonio Maiorino

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arXiv · 2506.14809

Impact of a Deployed LLM Survey Creation Tool through the IS Success Model

Peng Jiang·Vinicius Cezar Monteiro de Lira·Antonio Maiorino

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Abstract

Surveys are a cornerstone of Information Systems (IS) research, yet creating high-quality surveys remains labor-intensive, requiring both domain expertise and methodological rigor. With the evolution of large language models (LLMs), new opportunities emerge to automate survey generation. This paper presents the real-world deployment of an LLM-powered system designed to accelerate data collection while maintaining survey quality. Deploying such systems in production introduces real-world complexity, including diverse user needs and quality control. We evaluate the system using the DeLone and McLean IS Success Model to understand how generative AI can reshape a core IS method. This study makes three key contributions. To our knowledge, this is the first application of the IS Success Model to a generative AI system for survey creation. In addition, we propose a hybrid evaluation framework combining automated and human assessments. Finally, we implement safeguards that mitigate post-deployment risks and support responsible integration into IS workflows.

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Peng Jiang, Vinicius Cezar Monteiro de Lira, Antonio Maiorino. 2025-06-03. Impact of a Deployed LLM Survey Creation Tool through the IS Success Model. https://arxiv.org/abs/2506.14809

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