Kate Glazebrook, Co-Founder of Applied and formerly of the UK’s Behavioural Insights Team, joins to discuss the discriminatory mistakes most hiring managers make. Topics include unconscious bias, innovative hiring practices, and the importance of inclusive language in job descriptions. The conversation sheds light on systemic discrimination and offers strategies to improve decision-making processes.
Read more
AI Summary
AI Chapters
Episode notes
auto_awesome
Podcast summary created with Snipd AI
Quick takeaways
Structured hiring based on objective traits reduces biases in recruitment process.
Language bias in job descriptions affects candidate pool diversity and should be avoided.
Deep dives
Common Mistakes in Hiring
One of the key points discussed in the podcast is the prevalence of common mistakes made by hiring managers. Kate Glasebrook, a recruitment platform co-founder, shared insights on the lack of innovation in hiring practices over the years. Despite advancements in understanding bias, discrimination in hiring remains a significant issue affecting underrepresented groups, with studies showing consistent discriminatory patterns over several decades.
Removing Bias in Hiring
Kate highlighted the importance of removing biases in the hiring process. The podcast emphasized Daniel Kahneman's approach to structured hiring based on objective traits rather than gut instinct. By anonymizing CVs and using skill-based assessments, organizations can enhance the predictive accuracy of their hiring decisions, reducing the impact of biases and increasing diversity in recruitment.
Structuring Interviews for Better Decisions
The discussion delved into the significance of structuring interviews to minimize biases. Kate emphasized the benefits of structured interviews over unstructured ones, showcasing how group decisions lead to better outcomes. By scoring candidates based on relevant skills and reducing hierarchical influences, organizations can improve the quality and fairness of their recruitment process.
Avoiding Language Bias in Job Descriptions
Another crucial point addressed in the podcast is the impact of language bias in job descriptions. The use of gendered language can influence the candidate pool, leading to disparities in applications based on perceived gender associations. By utilizing inclusive language and avoiding gendered wording, organizations can attract a diverse range of candidates and enhance their recruitment outcomes.
Who should make the final call on a new hire? What should you ask during an interview? Can a job ad exclude good candidates? To answer these tough questions I’m joined by Kate Glazebrook, Co-Founder of Applied and formally of the UK’s Behavioural Insights Team. In this episode we highlight the mistakes most hiring managers make and how to avoid them.