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Agenda:
How to Recruit More Women Into Your Workforce
� Where we are today
� Leveraging AI and
Automation
� Diversity Analytics
Women have lost A Generation Of Job
Gains Due To COVID-19 Pandemic
Bureau of Labor Statistics
1 in 4 women are
considering downsizing
their careers or leaving
the workforce
McKinsey and Lean In’s Women in the Workplace Report
1st time in 6 years
Women intend to leave their jobs at
higher rates than men
McKinsey and Lean In’s Women in the Workplace Report
48% of HR Leaders
are significantly
concerned about
turnover
Burnout
Great resignation
42% vs 32%
in just one year
McKinsey and Lean In’s Women in the Workplace Report
That’s over a 30% change YoY!
4x larger stock return
than the S&P 500
Fortune, December 2019
Companies that remained diverse
and inclusive during the 2008
Great Recession did better
financially before, during and after
Are +21-33% more
profitable:
Perform 50% better: Deliver 19% higher
innovation revenue:
McKinsey found that the
profitability difference between
the fourth and first quartile of
performers due to executive-
level diversity was +21% for
gender diversity and +33% for
ethnic diversity.
CEB found that gender diverse
and inclusive teams
outperformed gender-
homogenous, less inclusive
teams by 50%.
Harvard Business Review found
that more diverse companies
deliver 19% higher average
innovation revenue.
Diverse and inclusive workforces:
Diverse and inclusion are key
Gartner 2019
Focus is Here
Let’s Talk Tech
AI and Automation Across the Recruiting Cycle
125% more
companies are using
AI to reduce bias this
year than last
Aptitude Research
Recruiting Cycle – Tech at Each Stage
Sourcing Attraction Engagement Selection
Screening
Sourcing
Poll:
Are you Using
Programmatic
Advertising?
● Yes!
● Just getting started
● Thinking about it
● No
You Need to Change Up Your Sources
Programmatic Job
Advertising
Ensures your online job ads
are in front of the right people,
at the right time, at the best
possible price.
Attraction
Job Description
Words Matter
Almost 50 Years ago
job description wording
influenced how appealing
jobs were to women vs men
…..increased gender
inequality.
gender
neutral titles
check
pronouns
balance
words
avoid
superlatives
limit
requirements
Poll: Are you using
any AI tech to
minimize bias at the
attraction stage?
● Yes!
● Just getting started
● Thinking about it
● No
Or just use
technology to
minimize bias
Engagement
Never before has it been
worse to have a one-size-fits-
all approach to recruiting.
Right content,
Right time,
Right candidates…
Increased the number of
women participating in a
critical recruiting stage by
40%
When nurturing candidates, use timely
and inclusive content
Consider:
● Tone
● Hiring stage
● Candidate profile
● Authenticity
● Brand
Poll: Are you using
conversational AI?
● Yes!
● Just getting started
● Thinking about it
● No
Conversational AI
Screening
Play Video
Orchestra Auditions
46%
Females
more likely
to be hired
-Harvard and Princeton study
Names have an impact
50%
more “callbacks” for
white vs black sounding names
-2003 landmark study
Black sounding names
Elite universities
-2015 followup study
White sounding names
Less selective schools
=
Remove
• Name
• Nationality
• University
Judge on Merit,
Skills and
Potential
Poll: Are you using
AI Matching?
● Yes!
● Just getting started
● Thinking about it
● No
AI Matching
Black Box
vs White Box
Diversity Analytics
“If you can’t measure it, you
can’t improve it.”
Peter Drucker
Companies would be well served
to track hiring to determine
whether women, and especially
women of color are being hired at
similar rates to other employees.
McKinsey & co
Poll: How would you
rate your
organization’s
diversity analytics?
● We got this - very strategic
and proactive
● More to do, but pretty good
● OK
● We have a long way to go
HBR May 2021
� Identify data gaps
� Confront the brutal
facts and share
them transparently
*Important to cut data by
gender, ethnicity, race AND
role type, division etc.
Leveraging Data to Make Better
Decisions
� Look at your data to understand
What is going on with diversity in your selection process
How decisions are being made today about who to select for
interview
� Avoid adverse impact on candidate selection
Thank you!
Questions?!
3 Seed Questions
� My organization is just getting started really focusing on diversity and recruiting - any
advice on where to start?
� Can you talk more about adverse impact and how to avoid and think about it especially
when it comes to AI?
� I've started hearing a bit about the stay interview. What is that exactly?
� Stay Interview - https://www.cnbc.com/2021/11/30/why-stay-interviews-are-the-next-big-trend-of-
the-great-resignation.html

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Troubleshooting Recruiting: How To Recruit More Women Into Your Workforce

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  • 5. Agenda: How to Recruit More Women Into Your Workforce � Where we are today � Leveraging AI and Automation � Diversity Analytics
  • 6. Women have lost A Generation Of Job Gains Due To COVID-19 Pandemic Bureau of Labor Statistics
  • 7. 1 in 4 women are considering downsizing their careers or leaving the workforce McKinsey and Lean In’s Women in the Workplace Report
  • 8. 1st time in 6 years Women intend to leave their jobs at higher rates than men McKinsey and Lean In’s Women in the Workplace Report
  • 9. 48% of HR Leaders are significantly concerned about turnover
  • 11. 42% vs 32% in just one year McKinsey and Lean In’s Women in the Workplace Report That’s over a 30% change YoY!
  • 12.
  • 13. 4x larger stock return than the S&P 500 Fortune, December 2019 Companies that remained diverse and inclusive during the 2008 Great Recession did better financially before, during and after
  • 14. Are +21-33% more profitable: Perform 50% better: Deliver 19% higher innovation revenue: McKinsey found that the profitability difference between the fourth and first quartile of performers due to executive- level diversity was +21% for gender diversity and +33% for ethnic diversity. CEB found that gender diverse and inclusive teams outperformed gender- homogenous, less inclusive teams by 50%. Harvard Business Review found that more diverse companies deliver 19% higher average innovation revenue. Diverse and inclusive workforces:
  • 15. Diverse and inclusion are key Gartner 2019
  • 17. Let’s Talk Tech AI and Automation Across the Recruiting Cycle
  • 18. 125% more companies are using AI to reduce bias this year than last Aptitude Research
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  • 21. Recruiting Cycle – Tech at Each Stage Sourcing Attraction Engagement Selection Screening
  • 23. Poll: Are you Using Programmatic Advertising? ● Yes! ● Just getting started ● Thinking about it ● No
  • 24. You Need to Change Up Your Sources Programmatic Job Advertising Ensures your online job ads are in front of the right people, at the right time, at the best possible price.
  • 26. Words Matter Almost 50 Years ago job description wording influenced how appealing jobs were to women vs men …..increased gender inequality.
  • 28. Poll: Are you using any AI tech to minimize bias at the attraction stage? ● Yes! ● Just getting started ● Thinking about it ● No
  • 29. Or just use technology to minimize bias
  • 31. Never before has it been worse to have a one-size-fits- all approach to recruiting.
  • 32. Right content, Right time, Right candidates… Increased the number of women participating in a critical recruiting stage by 40%
  • 33. When nurturing candidates, use timely and inclusive content Consider: ● Tone ● Hiring stage ● Candidate profile ● Authenticity ● Brand
  • 34. Poll: Are you using conversational AI? ● Yes! ● Just getting started ● Thinking about it ● No
  • 38. Orchestra Auditions 46% Females more likely to be hired -Harvard and Princeton study
  • 39. Names have an impact 50% more “callbacks” for white vs black sounding names -2003 landmark study Black sounding names Elite universities -2015 followup study White sounding names Less selective schools =
  • 40. Remove • Name • Nationality • University Judge on Merit, Skills and Potential
  • 41. Poll: Are you using AI Matching? ● Yes! ● Just getting started ● Thinking about it ● No
  • 44. “If you can’t measure it, you can’t improve it.” Peter Drucker
  • 45. Companies would be well served to track hiring to determine whether women, and especially women of color are being hired at similar rates to other employees. McKinsey & co
  • 46. Poll: How would you rate your organization’s diversity analytics? ● We got this - very strategic and proactive ● More to do, but pretty good ● OK ● We have a long way to go
  • 47. HBR May 2021 � Identify data gaps � Confront the brutal facts and share them transparently *Important to cut data by gender, ethnicity, race AND role type, division etc.
  • 48. Leveraging Data to Make Better Decisions � Look at your data to understand What is going on with diversity in your selection process How decisions are being made today about who to select for interview � Avoid adverse impact on candidate selection
  • 50.
  • 51. 3 Seed Questions � My organization is just getting started really focusing on diversity and recruiting - any advice on where to start? � Can you talk more about adverse impact and how to avoid and think about it especially when it comes to AI? � I've started hearing a bit about the stay interview. What is that exactly? � Stay Interview - https://www.cnbc.com/2021/11/30/why-stay-interviews-are-the-next-big-trend-of- the-great-resignation.html