AI News NQ Analysis

[Held on Tuesday, April 21st] How to Survive the Era of Hiring Difficulties! What are the Conditions for Stores to be Continuously Chosen by Part-time Workers?

NQ Score 100/100

AI Summary (NQ-processed)

This free online seminar on Tuesday, April 21, 2026, addresses the challenges of hiring in a difficult market. Co-hosted by TECH CREW Inc. and Will of Partner, it will reveal the conditions that make stores continuously chosen by part-time workers, exploring real reasons for turnover and the appeal of attractive workplaces beyond just salary. Attendees will gain insights into reducing recruitment costs and improving retention rates through referral hiring strategies.

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Frequently Asked Questions

Q: Who is organizing the online seminar titled 'How to Survive the Era of Hiring Difficulties!' on Tuesday, April 21, 2026?
A: The online seminar is organized by Will of Partner Co., Ltd., headquartered in Shinjuku-ku, Tokyo, with Takumi Shimizu serving as President.
Q: What is the main topic discussed in the seminar hosted by Will of Partner and TECH CREW Inc. on April 21, 2026?
A: The seminar explores the conditions that make stores continuously attractive to part-time workers, based on data from hundreds of companies and thousands of stores.
Q: Which company collaborates with Will of Partner to provide insights on labor management and engagement visualization during the seminar?
A: TECH CREW Inc. collaborates with Will of Partner to analyze employee engagement and labor management for store staff in the April 21, 2026 seminar.
Q: What specific hiring challenges are addressed in the seminar held on April 21, 2026, by Will of Partner Co., Ltd.?
A: The seminar addresses challenges such as lack of job applications despite postings and high turnover rates among newly hired part-time workers.
Q: How long is the online seminar hosted by Will of Partner, and what key outcomes does it aim to help stores achieve?
A: The seminar lasts 60 minutes and aims to help stores reduce recruitment costs while improving part-time worker retention rates through data-driven insights.