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Become a Strategic Advisor with
Data Driven Recruiting
May 20, 2015
©2013 LinkedIn Corporation. All Rights Reserved.
#hiretowin
Create a
data driven
recruiting
strategy
Execute your
strategy
Measure
results &
iterate
The recruiting organization that figures out how to extract
the value of the web’s people data and build a recruiting
team model that operationalizes at scale will define the
future of talent acquisition
“
STEPS TO BECOMING A STRATEGIC ADVISOR
1 2 3
#hiretowin
1. Create a data driven
recruiting strategy
#hiretowin
IT STARTS WITH A HIRING NEED
Job Description
Keywords: "Data Center" OR "Datacenter"
Location Within 50 Miles
Industry: Internet
Seniority: Manager
Interested In: Potential Employees
Company Size: 501-1,000 OR 1,001-5,000 OR 5,001-10,000,
OR 10,000+
Years of Experience: 6 to 10 years OR More than 10 years
Years in Position: 3-5 years OR 6-10 years
Company Type: Public Company
Language: English
Recommendations: 3-4 OR 5-10 OR 11-20 OR >20
#hiretowin
HIRING EXPECTATIONS ARE OFTEN TOO HIGH
 Have or set realistic expectations grounded in data
 Widen the talent pool by removing non-priority job requirements
#hiretowin
1. Locate your
talent pools
2. Dig into
skills &
seniority
3. Know your
talent
competitors
3 STEPS TO A DATA DRIVEN RECRUITING STRATEGY
#hiretowin
IDENTIFY WHERE YOUR TARGET TALENT LIVES
Example: Where 480K Software Engineers in the US are located
Data source: LinkedIn Recruiter
#hiretowin(based on LinkedIn recruiter contact Feb-Aug 2012)
PRIORITIZE CITIES BY SUPPLY & DEMAND
Went after “Hidden Gem” cities with high supply, low demand
Data source: LinkedIn Recruiter
#hiretowin
Seattle
New York
(word size represents skill frequency)
LOOK AT SKILL MIX BY CITY
#hiretowin
Manager and Above
9.6%
Manager and Above
6.9%
The Where & Why: NYC Has More Senior & Management-Level Talent
UNDERSTAND SENIORITY SPLITS BY CITY
#hiretowin
Who are you winning & losing talent to?
KNOW WHO YOUR TALENT COMPETITORS ARE
#hiretowin
1. Locate your
talent pools
2. Dig into
skills &
seniority
3. Know your
talent
competitors
3 STEPS TO A DATA DRIVEN RECRUITING STRATEGY
#hiretowin
GET STARTED WITH FREE TALENT POOL REPORTS
#hiretowin
SIZE YOUR TALENT POOLS
USING LINKEDIN RECRUITER
#hiretowin
2. Execute your strategy
#hiretowin
2,000 SYSTEMS INFRASTRUCTURE ENGINEERSPRIORITIZE CANDIDATES FOR BETTER RESULTS
1:Many
Nurture
1:Many
Telesales
1:1
Blue Carpet
1:Many
Nurture
Affinity
Which prospects are most likely to engage?
HighLow
High
Low
SkillsMatch
Whohasexpertiseinskillsweneed?
Problem: How do we efficiently identify & prioritize critical talent pools?
Solution: We sized & prioritized the market of Systems & Infrastructure engineers
#hiretowin
TRAIN YOUR RECRUITERS TO HAVE CONSULTATIVE
HIRING MANAGER INTAKE MEETINGS
Sample hiring manager intake form
#hiretowin
DO WORLD CLASS CONSUMER MARKETING
 1: Many means creating and promoting your talent brand
 Consider partnering with marketing
#hiretowin
LEARN MORE ABOUT TALENT BRANDING
Download LinkedIn’s Employer Brand Playbook:
http://bit.ly/employerbranding2015
#hiretowin
3. Measure results & iterate
#hiretowin
KNOW YOUR BUSINESS GOALS &
TIE YOUR RECRUITING METRICS TO THEM
#hiretowin
Most Successful Systems Infra & Data Recruiter
Most Successful Quarter in Eng Recruiting
3X
increase
in candidate
response rate
Highest
conversion rate
of applicant to
onsite
8:1 vs 13:1
Highest
conversion rate of
applicant to offer
TAM 1:Many
served LI content
more likely to
make it to onsite
vs. other
applicants
Increased Recruiting Efficiency & Reduced Recruiting Hours
THE RESULTS OF OUR DATA DRIVEN RECRUITING
FOR SYSTEMS & INFRASTRUCTURE ENGINEERS
#hiretowin
No
engagagement /
connection
Engaged w/
Competitor
Connected w/ LI Engaged w/ LI Engaged w/ LI &
w/ Competitor
Engaged w/ LI &
Connected w/LI
2.8x higher
response rates
vs. no connection
Source: North America LinkedIn InMail response rates; n=100k
Our strategy also led to higher InMail response rates
We used engagement & connectedness to target candidates w/ high affinity
#hiretowin
Create a
data driven
recruiting
strategy
Execute your
strategy
Measure
results &
iterate
BECOME A STRATEGIC ADVISOR WITH
DATA DRIVEN RECRUITING
1 2 3
Learn more: Download our
Data Driven Recruiting guide
http://bit.ly/DataDrivenRecruiting
#hiretowin
26
Thanks for viewing!
Follow us on social media:
talent.linkedin.com/blog
#hiretowin

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Become a Strategic Advisor with Data Driven Recruiting

  • 1. Become a Strategic Advisor with Data Driven Recruiting May 20, 2015 ©2013 LinkedIn Corporation. All Rights Reserved.
  • 2. #hiretowin Create a data driven recruiting strategy Execute your strategy Measure results & iterate The recruiting organization that figures out how to extract the value of the web’s people data and build a recruiting team model that operationalizes at scale will define the future of talent acquisition “ STEPS TO BECOMING A STRATEGIC ADVISOR 1 2 3
  • 3. #hiretowin 1. Create a data driven recruiting strategy
  • 4. #hiretowin IT STARTS WITH A HIRING NEED Job Description Keywords: "Data Center" OR "Datacenter" Location Within 50 Miles Industry: Internet Seniority: Manager Interested In: Potential Employees Company Size: 501-1,000 OR 1,001-5,000 OR 5,001-10,000, OR 10,000+ Years of Experience: 6 to 10 years OR More than 10 years Years in Position: 3-5 years OR 6-10 years Company Type: Public Company Language: English Recommendations: 3-4 OR 5-10 OR 11-20 OR >20
  • 5. #hiretowin HIRING EXPECTATIONS ARE OFTEN TOO HIGH  Have or set realistic expectations grounded in data  Widen the talent pool by removing non-priority job requirements
  • 6. #hiretowin 1. Locate your talent pools 2. Dig into skills & seniority 3. Know your talent competitors 3 STEPS TO A DATA DRIVEN RECRUITING STRATEGY
  • 7. #hiretowin IDENTIFY WHERE YOUR TARGET TALENT LIVES Example: Where 480K Software Engineers in the US are located Data source: LinkedIn Recruiter
  • 8. #hiretowin(based on LinkedIn recruiter contact Feb-Aug 2012) PRIORITIZE CITIES BY SUPPLY & DEMAND Went after “Hidden Gem” cities with high supply, low demand Data source: LinkedIn Recruiter
  • 9. #hiretowin Seattle New York (word size represents skill frequency) LOOK AT SKILL MIX BY CITY
  • 10. #hiretowin Manager and Above 9.6% Manager and Above 6.9% The Where & Why: NYC Has More Senior & Management-Level Talent UNDERSTAND SENIORITY SPLITS BY CITY
  • 11. #hiretowin Who are you winning & losing talent to? KNOW WHO YOUR TALENT COMPETITORS ARE
  • 12. #hiretowin 1. Locate your talent pools 2. Dig into skills & seniority 3. Know your talent competitors 3 STEPS TO A DATA DRIVEN RECRUITING STRATEGY
  • 13. #hiretowin GET STARTED WITH FREE TALENT POOL REPORTS
  • 14. #hiretowin SIZE YOUR TALENT POOLS USING LINKEDIN RECRUITER
  • 16. #hiretowin 2,000 SYSTEMS INFRASTRUCTURE ENGINEERSPRIORITIZE CANDIDATES FOR BETTER RESULTS 1:Many Nurture 1:Many Telesales 1:1 Blue Carpet 1:Many Nurture Affinity Which prospects are most likely to engage? HighLow High Low SkillsMatch Whohasexpertiseinskillsweneed? Problem: How do we efficiently identify & prioritize critical talent pools? Solution: We sized & prioritized the market of Systems & Infrastructure engineers
  • 17. #hiretowin TRAIN YOUR RECRUITERS TO HAVE CONSULTATIVE HIRING MANAGER INTAKE MEETINGS Sample hiring manager intake form
  • 18. #hiretowin DO WORLD CLASS CONSUMER MARKETING  1: Many means creating and promoting your talent brand  Consider partnering with marketing
  • 19. #hiretowin LEARN MORE ABOUT TALENT BRANDING Download LinkedIn’s Employer Brand Playbook: http://bit.ly/employerbranding2015
  • 21. #hiretowin KNOW YOUR BUSINESS GOALS & TIE YOUR RECRUITING METRICS TO THEM
  • 22. #hiretowin Most Successful Systems Infra & Data Recruiter Most Successful Quarter in Eng Recruiting 3X increase in candidate response rate Highest conversion rate of applicant to onsite 8:1 vs 13:1 Highest conversion rate of applicant to offer TAM 1:Many served LI content more likely to make it to onsite vs. other applicants Increased Recruiting Efficiency & Reduced Recruiting Hours THE RESULTS OF OUR DATA DRIVEN RECRUITING FOR SYSTEMS & INFRASTRUCTURE ENGINEERS
  • 23. #hiretowin No engagagement / connection Engaged w/ Competitor Connected w/ LI Engaged w/ LI Engaged w/ LI & w/ Competitor Engaged w/ LI & Connected w/LI 2.8x higher response rates vs. no connection Source: North America LinkedIn InMail response rates; n=100k Our strategy also led to higher InMail response rates We used engagement & connectedness to target candidates w/ high affinity
  • 24. #hiretowin Create a data driven recruiting strategy Execute your strategy Measure results & iterate BECOME A STRATEGIC ADVISOR WITH DATA DRIVEN RECRUITING 1 2 3
  • 25. Learn more: Download our Data Driven Recruiting guide http://bit.ly/DataDrivenRecruiting
  • 26. #hiretowin 26 Thanks for viewing! Follow us on social media: talent.linkedin.com/blog #hiretowin

Notes de l'éditeur

  1. Today’s agenda
  2. If you’re a hiring manager looking for a candidate, you may think there is an abundant pool of candidates for any one job but the reality could be that there’s only a fraction of potential candidates available. Doing a quick exercise to address your TAM (total addressable market) helps sets your expectations and the expectations of your stakeholders. For those of you asking how you do this, most people I know start at searching profiles on LinkedIn.
  3. You can use this data to align on expectations, agree on shared accountability, and change false sense of reality/perception on the market.
  4. Breakdown of each segment The Where Connectedness of your employees Skills & Seniority Win/Loss Rate
  5. You can do this with any other position you’re recruiting for: Sales, Marketing, CXO’s, Operations
  6. This slide shows us who we’re winning talent from, and who we’re losing talent to. As you might expect, red means we’re losing talent to the organizations listed on the left, and green means we’re winning talent from those organizations. [NOTE: this isn’t our actual data, but we’re sharing it here as an example of what we review regularly] The left-hand side of this slide is fairly straightforward: we can see how many hires we’ve made from those companies in the past four quarters, and how many hires they’ve made from us. On the right side, we’ve calculated that data as a ratio. We can watch this data over time to understand what’s trending. It helps us identify competitive hiring risks or areas where we need more focus.
  7. Breakdown of each segment The Where Connectedness of your employees Skills & Seniority Win/Loss Rate
  8. There are also other resources: Lou Adler, LinkedIn Learning Center
  9. This is a formula to find the right talent. <click to see example after formula is explained>
  10. Brands can no longer hide who they are We need to change the way we look at recruiting and talent. We need to lead in new ways, increase our partnerships, operationalize our worlds, listen a lot more and lead with data. If you do this right, you can use data to BUILD CREDIBILITY.
  11. Text/Links to put in chat box: Thanks for joining! We will start shortly. In the meantime, follow us on social media: Twitter: @HireOnLinkedIn LinkedIn: https://www.linkedin.com/company/linkedin-talent-solutions SlideShare: http://www.slideshare.net/linkedin-talent-solutions YouTube: https://www.youtube.com/user/LITalentSolutions Blog: http://talent.linkedin.com/blog/