[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).

A conceptual visual representing a futuristic Japanese local government office with a large transparent screen displaying data visualizations, heatmaps of citizen inquiries, and abstract digital nodes connecting community needs to policy solutions. The setting is a clean, modern Japanese administrative building interior with a focus on data-driven governance.

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.

Figure 1: Distribution Analysis of Resident Inquiry Categories at AI Service Counters
A focused Japanese data analyst working in a modern Tokyo municipal office. The professional is examining complex data charts and sentiment analysis word clouds on a dual-monitor setup. The office environment is professional and reflects a high-tech Japanese government workspace.

3. Elevating to EBPM: Concrete Approaches from Data to Policy

Visualized data must ultimately be linked to EBPM (Evidence-Based Policy Making). It is crucial to establish a cycle where insights gained from AI service counter log analysis are used to optimize budgeting and public relations strategies.

By utilizing dialogue logs as an "administrative health checkup report" in this way, efficient administrative services that stay close to the needs of residents can be realized.

A group of Japanese government officials and expert consultants in a high-level strategic meeting in a Tokyo conference room. They are looking at a large screen displaying AI-driven analytics of citizen feedback and discussing policy implementation. The scene conveys professional collaboration and data-driven decision-making.

4. Outlook for AI Utilization in Local Governments Toward 2026

By 2026, with further advancements in generative AI, service counter guidance will likely evolve from "simple answers" to "personalized suggestions." Push-type services will become widespread, learning from residents' past interactions (in a privacy-conscious manner) to proactively provide administrative information that the resident is likely to need.

The most important aspect of data utilization is the relationship of trust with residents. Continuing to provide residents with the tangible sense that entrusting their zero-party data makes their lives more convenient is the shortest path to realizing next-generation smart cities.

FAQ

Q. How is the protection of personal information in chat logs guaranteed?
A. Data used for analysis undergoes statistical processing after personally identifiable information is automatically masked (anonymized). The system is designed by default to prioritize the protection of residents' privacy.
Q. Do you need a specialized data scientist for log analysis?
A. Many recent AI counter guidance systems come standard with dashboard functions and text mining tools, making it possible to intuitively understand resident trends even without specialized expertise.
Q. How long does it take from implementation to utilization for EBPM?
A. Initial trend data is accumulated within 1 to 3 months after implementation. After approximately six months of operation, the annual cycle of resident needs—including seasonal factors—becomes visualized, enabling its use for full-scale policy planning.

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Summary

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

WRITTEN BY
Osamu Yasuda

Osamu Yasuda

Senior Managing Director & COO

Meets Consulting Inc.

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"
Disclaimer: This article is for informational purposes only and does not guarantee the results of any specific local government initiatives. Please check the official websites of the respective ministries for the latest guidelines.