Exit Interview

Use anonymous AI conversations to surface candid feedback and strengthen retention measures

Background and Challenges

Resignations are being processed as "personal reasons," leaving the real cause unclear as employees leave.

In face-to-face interviews, employees tend to hold back, making organizational issues and areas for improvement difficult to quantify.

Without effective corrective action, employees continue to leave for the same reasons.

AS-IS (Traditional)

・Reasons limited to the stated pretext of "personal reasons"

・Psychological barriers caused by in-person deference

・Issues remaining a black box

TO-BE (After Implementation)

・Extract candid feedback asynchronously

・Ensure psychological safety

・Structure and analyze turnover factors

Operational Flow

1. Invitation from the system / asynchronous response

2. AI analysis and classification of turnover factors

3. Share summary report with management

Information Obtained

・Turnover factor tree

・Draft improvement proposals

Implementation Effects (KPI)

・Data collection rate: Improved

・Implementation rate of improvement measures: Improved

・Issue clarity: Improved