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Moneyball for Talent Acquisition
Using LinkedIn Data to Inform Your Strategy
Will Hamlin
Insights, LinkedIn
@Will_Hamlin
Josh Coulson
Insights, LinkedIn
@joshc0
In Moneyball data transformed baseball
2
In Moneyball data transformed baseball
3
In Moneyball data transformed baseball
4
In Moneyball data transformed baseball
5
It’s time for data to transform Talent Acquisition
6
7
of Talent Acquisition leaders believe
that their organisation utilises data
well when hiring
LinkedIn data can measure much better than before
Broader
200M+ Members
Deeper Real-Time
Breakdown by geo,
function, etc.
Constantly updating
Starting with the profile
8
Put in practice
Plan
Prioritise
Today let’s discuss using LinkedIn data for 3 Ps
9
How to:
Plan
Prioritise
Put in practice
10
Let’s use ANZ as an example
11
Start by sizing up the talent pool to set expectations with
hiring managers
12
10,833507
13
3713
talent pool
Recruiter can measure the talent pool
10,833507
14
3713
talent pool
Recruiter can measure the talent pool
Our strategic customers look at talent pool reports
• Recruiter can show
supply of talent
DEMAND
SUPPLY
• Now we can look at
demand for talent
• This helps identify
markets for talent
Melbourne
Sydney
Perth
15
We run surveys to identify what the talent pool is looking for so
you can tailor messaging
Challenging work
Excellent compensation & benefits
High caliber people
Job security
Good work-life balance
Matters more Matters less
16
You can now measure all this through Talent Pool reports
1. Software engineers
2. Financial services
3. Mining and Energy
4. Students and Recent
Graduates
5. Women in Leadership
17
You can find the Talent Pool reports at:
lnkd.in/plan
18
How can you use data to plan?
Set expectations with
hiring managers
Identify markets for targeting
talent
1
2
19
How to
Plan
Prioritise
Put in practice
20
Once you’ve identified the right people,
are they interested in you?
21
Let’s look at Aurecon, a global engineering, management &
specialist technical services firm
22
Your employees are engaging talent every day; mobilise
them as brand ambassadors
130,104
Potential candidates view Aurecon’s
employee profiles yearly
23
Your company page draws in talent
21,448
Engaged Talent
following Aurecon 24
But how do you pull together the pieces?
First, look at brand reach and engagement
Talent Brand Reach
Talent
Talent that’s familiar with you as an employer
Talent Brand Engagement
Talent that is interested in you as an employer
Researching company and career pages
Following your company
Viewing jobs and applying
Viewing employee profiles
Connecting with your employees
263,229members
members
64,513
25
But how do you pull together the pieces?
First, look at brand reach and engagement
Talent Brand Reach
Talent
Talent Brand Engagement
263,229members
members
64,513
Talent Brand Index
=
Talent Brand Engagement
Talent Brand Reach
Aurecon
25%
26
We can compare your Talent Brand Index
against your peers
PEERS
• Peer A
• Peer B
• Peer C
• Peer D
• Peer E
• Peer F
25%
14%
12%
11% 11%
8%
7%
Aurecon
1of 7
Weaker employer
brand
Employer of
choice
27
Talent more
difficult to engage
Talent easiest to
engage
We can measure your Talent Brand Index
across geographies you’re hiring in…
37%
34%
20%
19% 19%
8%
South Africa India USA Australia New Zealand UK
28
We can track how your Talent Brand Index
progresses over time
11.6%
12.1%
14.6%
17.5%
18.5%
19.5%
20.7%
22.4%
24.5%
Jul 12 Aug 12 Sep 12 Oct 12 Nov 12 Dec 12 Jan 13 Feb 13 Mar 13
29
How can you use data to prioritise?
Identify engaged
candidates
Benchmark against peers
Diagnose strengths /
weaknesses
1
2
3
30
How to:
Plan
Prioritise
Put in practice
31
Start using data & keep it simple
32
What is the size of your talent pool?
How well are you engaging that talent?
Should you create a new workflow?
33
NO!
Integrate and enhance your existing workflow
34
Look at the data to:
1) Plan based on the size
of the talent pool
2) Prioritise engaged talent
Ask for the data:
1) How big is the talent
pool?
2) How many candidates
are we engaging?
Recruiter TA Leader
Talent Tips from LinkedIn
35
Team TA
Sourcing Ops &
Analytics
Coordination
We embedded ops & analytics into TA
Measure, manage, iterate… Repeat
How can you best operationalise talent analytics?
36
Start using data &
keep it simple
Integrate and enhance
your workflow
Create the right team
structure
Team TA
Sourcing
Ops &
Analytics
Coordination
1
2
3
Put in practice
Plan
Prioritise
You should now know how to use data to:
37
You can now verify skills with endorsements
38
We can help companies to understand where they are
skill leaders or skill trailers
Is that good?
• How does it compare to
our peers?
• How does it vary by
geo, function, etc.?
39

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Talent Connect Australia - Will Hamlin & Josh Coulson "Moneyball for Talent Acquisition: Using LinkedIn Data to Inform Your Strategy and Demonstrate Your Impact"

  • 1. Moneyball for Talent Acquisition Using LinkedIn Data to Inform Your Strategy Will Hamlin Insights, LinkedIn @Will_Hamlin Josh Coulson Insights, LinkedIn @joshc0
  • 2. In Moneyball data transformed baseball 2
  • 3. In Moneyball data transformed baseball 3
  • 4. In Moneyball data transformed baseball 4
  • 5. In Moneyball data transformed baseball 5 It’s time for data to transform Talent Acquisition
  • 6. 6
  • 7. 7 of Talent Acquisition leaders believe that their organisation utilises data well when hiring
  • 8. LinkedIn data can measure much better than before Broader 200M+ Members Deeper Real-Time Breakdown by geo, function, etc. Constantly updating Starting with the profile 8
  • 9. Put in practice Plan Prioritise Today let’s discuss using LinkedIn data for 3 Ps 9
  • 11. Let’s use ANZ as an example 11
  • 12. Start by sizing up the talent pool to set expectations with hiring managers 12
  • 15. Our strategic customers look at talent pool reports • Recruiter can show supply of talent DEMAND SUPPLY • Now we can look at demand for talent • This helps identify markets for talent Melbourne Sydney Perth 15
  • 16. We run surveys to identify what the talent pool is looking for so you can tailor messaging Challenging work Excellent compensation & benefits High caliber people Job security Good work-life balance Matters more Matters less 16
  • 17. You can now measure all this through Talent Pool reports 1. Software engineers 2. Financial services 3. Mining and Energy 4. Students and Recent Graduates 5. Women in Leadership 17
  • 18. You can find the Talent Pool reports at: lnkd.in/plan 18
  • 19. How can you use data to plan? Set expectations with hiring managers Identify markets for targeting talent 1 2 19
  • 21. Once you’ve identified the right people, are they interested in you? 21
  • 22. Let’s look at Aurecon, a global engineering, management & specialist technical services firm 22
  • 23. Your employees are engaging talent every day; mobilise them as brand ambassadors 130,104 Potential candidates view Aurecon’s employee profiles yearly 23
  • 24. Your company page draws in talent 21,448 Engaged Talent following Aurecon 24
  • 25. But how do you pull together the pieces? First, look at brand reach and engagement Talent Brand Reach Talent Talent that’s familiar with you as an employer Talent Brand Engagement Talent that is interested in you as an employer Researching company and career pages Following your company Viewing jobs and applying Viewing employee profiles Connecting with your employees 263,229members members 64,513 25
  • 26. But how do you pull together the pieces? First, look at brand reach and engagement Talent Brand Reach Talent Talent Brand Engagement 263,229members members 64,513 Talent Brand Index = Talent Brand Engagement Talent Brand Reach Aurecon 25% 26
  • 27. We can compare your Talent Brand Index against your peers PEERS • Peer A • Peer B • Peer C • Peer D • Peer E • Peer F 25% 14% 12% 11% 11% 8% 7% Aurecon 1of 7 Weaker employer brand Employer of choice 27
  • 28. Talent more difficult to engage Talent easiest to engage We can measure your Talent Brand Index across geographies you’re hiring in… 37% 34% 20% 19% 19% 8% South Africa India USA Australia New Zealand UK 28
  • 29. We can track how your Talent Brand Index progresses over time 11.6% 12.1% 14.6% 17.5% 18.5% 19.5% 20.7% 22.4% 24.5% Jul 12 Aug 12 Sep 12 Oct 12 Nov 12 Dec 12 Jan 13 Feb 13 Mar 13 29
  • 30. How can you use data to prioritise? Identify engaged candidates Benchmark against peers Diagnose strengths / weaknesses 1 2 3 30
  • 32. Start using data & keep it simple 32 What is the size of your talent pool? How well are you engaging that talent?
  • 33. Should you create a new workflow? 33 NO!
  • 34. Integrate and enhance your existing workflow 34 Look at the data to: 1) Plan based on the size of the talent pool 2) Prioritise engaged talent Ask for the data: 1) How big is the talent pool? 2) How many candidates are we engaging? Recruiter TA Leader
  • 35. Talent Tips from LinkedIn 35 Team TA Sourcing Ops & Analytics Coordination We embedded ops & analytics into TA Measure, manage, iterate… Repeat
  • 36. How can you best operationalise talent analytics? 36 Start using data & keep it simple Integrate and enhance your workflow Create the right team structure Team TA Sourcing Ops & Analytics Coordination 1 2 3
  • 37. Put in practice Plan Prioritise You should now know how to use data to: 37
  • 38. You can now verify skills with endorsements 38
  • 39. We can help companies to understand where they are skill leaders or skill trailers Is that good? • How does it compare to our peers? • How does it vary by geo, function, etc.? 39

Notas do Editor

  1. Simplify graphics