[2026 Latest] Utilizing Chat Logs as Zero-Party Data: Implementing EBPM to Visualize Residents' Latent Needs
Digital Transformation (DX) in local governments is shifting from simple digitization of service counters to a "quality improvement" phase focused on how to feed accumulated data back into policy. At the core of this shift is the utilization of chat logs obtained through AI guidance systems. Inquiries voluntarily entered by residents represent "raw voices" that traditional surveys could not capture, serving as high-precision zero-party data and a key to accelerating Evidence-Based Policy Making (EBPM).
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1. Why Chat Logs Are the "Ultimate Zero-Party Data"
"Zero-party data" refers to data that users intentionally and proactively share. Chat logs submitted to local government AI service counters are valuable resources that perfectly fit this definition.
In traditional administrative surveys, respondents choose from pre-prepared options, making it difficult to capture "latent dissatisfaction" or "new needs" that fall outside the survey designer's expectations. However, in an AI dialogue format, residents express their concerns in their own words (natural language). This unstructured data reveals the context hidden behind statistical figures, such as "why residents are struggling with specific procedures."
2. The Process of Visualizing Resident Needs Through Text Mining
To utilize vast amounts of chat logs for policy, analysis using Natural Language Processing (NLP) is essential. By performing co-occurrence word analysis in addition to tracking the frequency of specific keywords, it becomes possible to understand in real-time where resident interest is concentrated.
For example, if words like "procedures," "nighttime," and "online" frequently appear alongside the term "child-rearing," it highlights the urgent demand for digitization from dual-income households who cannot visit service counters during the day. The following data shows changes in inquiry categories after the introduction of AI in a certain local government.
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The true value of an AI service desk guidance system goes beyond mere operational efficiency through automated responses. By treating the accumulated chat logs as "zero-party data" rich with the latent needs of residents and visualizing them via text mining, local governments can achieve truly Evidence-Based Policy Making (EBPM). Looking toward 2026, the new standard for municipalities will be to engage with residents through data to provide higher-quality administrative services.
Published: May 27, 2026 / By: Osamu Yasuda
References
- [1] Ministry of Internal Affairs and Communications "Local Government DX Promotion Plan" and EBPM Promotion Guidelines
- [2] Digital Agency, "Survey on the Sophistication of Administrative Services through Data Utilization"
- [3] Forrester Research "The Power of Zero-Party Data in Public Sector"

