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Carlos Avila에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Carlos Avila 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Job simulations over job descriptions - and the art of hiring for light industrial jobs

24:20
 
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저장한 시리즈 ("피드 비활성화" status)

When? This feed was archived on April 30, 2024 19:06 (23d ago). Last successful fetch was on February 20, 2024 03:37 (3M ago)

Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 390774226 series 3252046
Carlos Avila에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Carlos Avila 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Interview of Maya Huber from Tatio.io , an expert in recruiting and staffing with a PhD in the future of work and job analysis, discusses the changes in the workforce. She emphasizes the importance of light industrial workers and their role in driving the workforce. Maya explains that while robots may change certain aspects of these jobs, new approaches should be implemented to improve efficiency. Max Armbruster asks Maya about her predictions regarding job changes due to technological advancements, to which she responds that everything happened faster than expected. She mentions that career paths are becoming less linear and more project-based, particularly in light industrial spaces where people switch between jobs frequently.
Maya highlights that companies with high automation levels still require human operators for certain tasks. The demand for positions within the light industrial space is changing as well. TaTiO's solution replaces traditional selection processes for job candidates with visual job simulations, creating a more engaging experience and improving hiring decisions. Maya explains how this approach helps candidates understand what a job requires within minutes instead of reading multiple similar job descriptions.
They further discuss why "gamification" is not a suitable design mantra when building a job application process, as applying for a job is serious business rather than playful or easy.
Maya suggests going back to a more personalized and hands-on approach in the hiring process. She emphasizes the importance of making meaningful connections with candidates and avoiding solely relying on technology. Maya also shares her hiring mistake of trusting her gut instinct without proper assessment, highlighting the need for simulations to evaluate skills before hiring.

  continue reading

92 에피소드

Artwork
icon공유
 

저장한 시리즈 ("피드 비활성화" status)

When? This feed was archived on April 30, 2024 19:06 (23d ago). Last successful fetch was on February 20, 2024 03:37 (3M ago)

Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 390774226 series 3252046
Carlos Avila에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Carlos Avila 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Interview of Maya Huber from Tatio.io , an expert in recruiting and staffing with a PhD in the future of work and job analysis, discusses the changes in the workforce. She emphasizes the importance of light industrial workers and their role in driving the workforce. Maya explains that while robots may change certain aspects of these jobs, new approaches should be implemented to improve efficiency. Max Armbruster asks Maya about her predictions regarding job changes due to technological advancements, to which she responds that everything happened faster than expected. She mentions that career paths are becoming less linear and more project-based, particularly in light industrial spaces where people switch between jobs frequently.
Maya highlights that companies with high automation levels still require human operators for certain tasks. The demand for positions within the light industrial space is changing as well. TaTiO's solution replaces traditional selection processes for job candidates with visual job simulations, creating a more engaging experience and improving hiring decisions. Maya explains how this approach helps candidates understand what a job requires within minutes instead of reading multiple similar job descriptions.
They further discuss why "gamification" is not a suitable design mantra when building a job application process, as applying for a job is serious business rather than playful or easy.
Maya suggests going back to a more personalized and hands-on approach in the hiring process. She emphasizes the importance of making meaningful connections with candidates and avoiding solely relying on technology. Maya also shares her hiring mistake of trusting her gut instinct without proper assessment, highlighting the need for simulations to evaluate skills before hiring.

  continue reading

92 에피소드

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