SeaGreen Inc. Releases Case Study LP for AI 1on1 Voice Recognition System to Improve Managerial Interviews and Early Detection of On-site Issues

SeaGreen Inc. has released a case study landing page for its 'AI 1on1 Voice Recognition System,' which supports the recording, summarization, and analysis of 1on1 interviews using AI.
This LP introduces a case where AI-driven visualization of interview content and third-party support led to improvements in managerial interviews and early detection of on-site issues in small and medium-sized enterprises, where the burden on playing managers is high and 1on1 interviews tend to become superficial.

▼Special Landing Page (Case Study LP)はこちら

https://www.seagreen.co.jp/ai/

While 1on1 interviews are increasing, are they ending after being conducted?
In recent years, more companies have been introducing 1on1 interviews to support employee growth, prevent turnover, and revitalize internal communication.

Common Challenges in 1on1s
However, especially in small and medium-sized enterprises, managers often兼務 (juggle) regular duties with management, leading to 1on1 interviews not functioning effectively.
For example, the following situations often occur in the field:

Interviews are postponed due to being busy with daily tasks.
They end with just a "How are things lately?" check-in.
The manager talks too much, failing to draw out the employee's true feelings and issues.
Interview content is not recorded, and previous discussions and issues are left unaddressed.
Interviews are conducted, but they do not lead to changes in employee behavior or business improvements.

1on1 interviews are unlikely to be effective if they are merely conducted; a mechanism is needed to record, reflect on, and connect interview content to future actions.

Visualizing Interview Content with AI to Support Managerial Interview Improvement
This newly released case study LP introduces initiatives to improve the quality of 1on1 interviews by utilizing SeaGreen Inc.'s 'AI 1on1 Voice Recognition System' to record, summarize, and analyze interview content using AI.

This system visualizes the following based on interview audio:

Transcription of interview content
Summarization of interview content
Organization of discussed issues and next actions
Confirmation of speaking balance between manager and employee
Understanding interview trends and improvement points

This allows for an objective review of 1on1 interviews, which have often been a black box.

AI Voice Analysis
Content Introduced in the Case Study LP
The case study LP presents the following as examples of how the system is used in actual implementing companies:

Case 1: Technopalnet Co., Ltd.

Technopalnet Co., Ltd., which operates in the equipment-related business, faced difficulties in adequately organizing on-site issues and progress checks amidst their daily workload.

By utilizing the AI 1on1 Voice Recognition System, they recorded and summarized interview content, organizing what needed to be confirmed next and on-site issues.
This facilitated post-interview reflection, providing managers with an opportunity to review their interaction with subordinates and link it to business improvements.

Case 2: Manufacturing Company

A company involved in the precision metal component manufacturing and processing faced issues of opacity regarding evaluations and interviews, leading to dissatisfaction and retention problems among young employees.

By visualizing interview content with AI and combining it with third-party support, managers reviewed their interview approach and worked to enhance the quality of dialogue with employees.

More Than Just an AI Minutes Tool: Supporting 'Interview Improvement'

The AI 1on1 Voice Recognition System is not merely a tool for transcribing interview content.

The crucial aspect is to reflect on the following based on the AI-recorded information:

"What kind of dialogue is taking place?"
"Are the employee's issues and concerns being picked up?"
"Is the interview leading to the next course of action?"

SeaGreen Inc. not only visualizes interview data with AI but also leverages its expertise in building evaluation systems and supporting 1on1 operations to provide feedback to interviewers and support operational improvements.

Through this, they aim to prevent 1on1 interviews from being "just conducted and finished" and instead connect them to employee growth support and early detection of on-site issues.

Comments from the Person in Charge

In small and medium-sized enterprises, it is common for managers to be both players and trainers, and while they recognize the need for 1on1 interviews, they often struggle to secure sufficient time and reflection mechanisms.

Furthermore, since interviews are conducted in private, it has been difficult to objectively confirm whether the manager is listening sufficiently to the employee or if the interview is leading to subsequent actions.

The AI 1on1 Voice Recognition System provides managers with an opportunity to reflect on and improve their interviews by visualizing the interview content.
Moving forward, we will continue to contribute to the establishment of 1on1 interviews and the support of employee growth in small and medium-sized enterprises by combining AI and human support.

▼Special Landing Page (Case Study LP)はこちら

https://www.seagreen.co.jp/ai/

【Company Profile】

Company Name: SeaGreen Inc.

Location: 6-85 Benten-dori, Naka-ku, Yokohama-shi, Kanagawa 231-0007, Utoku Building 4F

Representative: Kazunari Asano

TEL: +81-45-640-4117 (Main)

FAX: +81-45-640-4119

Business Activities: Support for building evaluation systems, cloud service development

【Contact Regarding This Matter】
SeaGreen Inc.
Contact: HR Business Department, Yamamoto
Email: inside@seagreen.co.jp
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