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[Case Study of Evaluation System Development] Public Recruitment Guide Co., Ltd.

Fully automating approximately 3,000 evaluations per month! Here we introduce a case that achieved consistent and highly accurate public evaluations, surpassing human performance.

We would like to introduce a case where we developed and provided an evaluation system for "contest application attractiveness" using generative AI for the Public Recruitment Guide Co., Ltd. The company was manually evaluating approximately 2,000 to 3,000 new public recruitment applications each month with a few staff members, which was a significant burden in terms of labor. Additionally, there were issues with inconsistencies in evaluation criteria depending on the reviewer, leading to fluctuations in evaluations. In response, we verbalized the subjective evaluation criteria through interviews and achieved a highly accurate public recruitment evaluation using AI. This allowed for the complete automation of evaluations for approximately 3,000 applications per month, resulting in evaluations that are more accurate and consistent than those made by humans, significantly contributing to operational efficiency. [Case Overview (Partial)] ■Challenges - To convey the enjoyment of public recruitment to users and revitalize the contest industry. - To enhance the added value on the site through automated evaluations by AI. - To manage the burden of evaluating approximately 2,000 to 3,000 new public recruitment applications each month. *For more details, please download the PDF or feel free to contact us.