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Summary:

Bennett Sung is the head of marketing for Humanly (humanly.io), a conversational AI for recruiting engine that helps surface the most qualified, diverse pool of applicants at scale. He is a creative technologist with 16+ years of experience leading corporate and product marketing functions at startups and public companies. He has also been included in the Most Inclusive HR Influencer List since 2019. 

In this episode, Bennett talks about how new application tracking technology could entirely change how we think about (and use) applicant data. 

Chapters:

[0:00 - 4:52] Introduction

• Welcome, Bennett!
• Today’s Topic: Emerging Technologies in Application Tracking Systems

[4:53 - 16:11] The development of a new category of application tracking technology

• Technology has begun parsing through interviews so we can learn from and document those interactions
• Using interview data to inform and improve future interviews

[16:12 - 22:55] Improving the over-automated application tracking process

• How to re-introduce humans to automated application tracking systems
• Documenting applicants’ skills and next level data to build a better matching engine

[22:56 - 27:10] Bennett’s predictions for 2023

• Building an employee skills ontology to promote internal mobility and prevent skill loss through layoffs
• Why we need to focus on retooling the hiring manager experience

[27:11 - 29:25] Final Thoughts & Closing

• Will 2024 be when we see real data integration?
• Thanks for listening!

Quotes:

“Once we start to look at the aggregation of data across interviews in organizations, and we slice it by diversity filters—this is where the eyes open up.”

“We need [an employee skills ontology]. It is the crux that holds recruiting back—completely!”

Contact:
Bennett's LinkedIn
David's LinkedIn


Production by Affogato Media
Podcast Manger: Karissa Harris

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Produced by Affogato Media