Hiring in an Unfair Game: The Moneyball of Recruiting

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Hiring in an Unfair Game: The Moneyball of Recruiting June 20, 2012 Paul Basile, CEO Matchpoint Careers, Inc [email protected]

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ERE Webinar from 6/20/12, presented by Paul Basile.

Transcript of Hiring in an Unfair Game: The Moneyball of Recruiting

Page 1: Hiring in an Unfair Game: The Moneyball of Recruiting

Hiring in an Unfair Game: The Moneyball of Recruiting

June 20, 2012

Paul Basile, CEO Matchpoint Careers, Inc [email protected]

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Introductions

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POLL 1: who are we?

•  In-house talent acquisition specialist •  Talent management specialist •  HR generalist •  Professional recruiter •  None of the above

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POLL 2: Moneyball and me

•  I know the Moneyball story very well •  I know Moneyball, but what’s the link to recruitment? •  I have heard, vaguely, of Moneyball •  I hate baseball •  I know who Brad Pitt is…

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Why Moneyball?

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Why Moneyball?

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The Moneyball story

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The Lessons of Moneyball

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The Lessons of Moneyball

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The Lessons of Moneyball

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What’s the Moneyball of Recruiting? 1.  Identify the problem to solve 2.  Find the solution to that problem 3.  Act on what we know: implement the solution 4.  Eliminate everything else

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1. What’s the problem?

What we want What we can afford

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The difference top performers make

Top 15% of performers

Bottom 15% of performers

$48,000 $80,000 $112,000

↑↓ 40+%

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How do we recruit now?

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How do we recruit now?

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How do we recruit now?

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Our results

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Our results

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Our results

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Our results

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So, what’s going on?

Sele

ctio

n ap

proa

ch

Job performance

False positives

True negatives

True positives

False negatives

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What we get

Sele

ctio

n ap

proa

ch

Job performance

False positives

True negatives

True positives

False negatives

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What we want

Job performance

False negatives

True positives

False positives

True negatives Se

lect

ion

appr

oach

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2. The solution: predict performance

0

-0.1

0.1

0.2

0.3

0.4

0.5

0.6

0.7 Correlation coefficient

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Weak predictors

0

-0.1

0.1

0.2

0.3

0.4

0.5

0.6

0.7

Unstructured interviews (0.18)

Years of education (0.10) Years of job experience (0.18)

Graphology (0.02)

Age (-0.1)

Weakly predictive

Correlation coefficient

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Medium predictors

0

-0.1

0.1

0.2

0.3

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0.5

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Knowledge of the job (0.48)

References (0.36)

Unstructured interviews (0.18)

Years of education (0.10) Years of job experience (0.18)

Graphology (0.02)

Age (-0.1)

Weakly predictive

Somewhat predictive

Personality tests (0.40)

Correlation coefficient

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Strong predictors

0

-0.1

0.1

0.2

0.3

0.4

0.5

0.6

0.7

Cognitive ability tests (0.51)

Cognitive ability tests with behavioral assessment (0.67)

Knowledge of the job (0.48)

References (0.36)

Unstructured interviews (0.18)

Years of education (0.10) Years of job experience (0.18)

Graphology (0.02)

Age (-0.1)

Weakly predictive

Somewhat predictive

Powerfully predictive

Personality tests (0.40)

Correlation coefficient

Structured interviews (0.51)

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Strong predictors

0

-0.1

0.1

0.2

0.3

0.4

0.5

0.6

0.7

Cognitive ability tests (0.51)

Cognitive ability tests with behavioral assessment (0.67)

Knowledge of the job (0.48)

References (0.36)

Unstructured interviews (0.18)

Years of education (0.10) Years of job experience (0.18)

Graphology (0.02)

Age (-0.1)

Weakly predictive

Somewhat predictive

Powerfully predictive

Personality tests (0.40)

Correlation coefficient

Adapted from I. Robinson and M. Smith, Personnel Selection (2001) British

Psychological Society

Structured interviews (0.51)

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Predictive selection

Employee performance

• Cognitive ability • Behavior • Preferences

Differentiators

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Predictive selection

Employee performance

• Cognitive ability • Behavior • Preferences • Skills

• Knowledge Differentiators

Baselines

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Example: Project Oxygen

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Example: Project Oxygen

Technical ability the least important success factor

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3. Act: Implement the solution

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Measure the job demands

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Measure candidate skills & knowledge

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Measure candidate cognitive ability

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Measure candidate cognitive ability

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Measure candidate behaviors

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Measure candidate behaviors

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Measure candidate preferences

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Bring the data together

Job

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Bring the data together

Job

Candidates

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Bring the data together

Job

Candidates

Rank & shortlist

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Bring the data together

Job

Candidates

Hire

Rank & shortlist

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Timing

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Timing

Application forms / résumés

Interviews / other assessments

Psychometric assessments

Traditional recruitment pipeline

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Application forms / résumés

Interviews / other assessments

Psychometric assessments

Self-selection, employer-specific assessments

Interviews / other assessments

Psychometric assessments

Performance-predicting recruitment pipeline

Traditional recruitment pipeline

Timing

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4. Eliminate all else

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What to eliminate

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But is it practical?

Candidate time

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But is it practical?

< 1h 30 mins

Candidate time

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But is it practical?

< 1h 30 mins

Candidate time Employer time

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But is it practical?

< 1h 30 mins < 30 minutes

Candidate time Employer time

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But is it practical?

< 1h 30 mins < 30 minutes

Candidate time Employer time Data processing time

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But is it practical?

< 1h 30 mins < 30 minutes < 1 minute

Candidate time Employer time Data processing time

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But is it practical?

< 1h 30 mins < 30 minutes < 1 minute

Candidate time Employer time Data processing time

$$$ Current cost-per-shortlist

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But is it practical?

< 1h 30 mins < 30 minutes < 1 minute

Candidate time Employer time Data processing time

$$$ Future cost-per-shortlist

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Results

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Results

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Results

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Results

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Recap: Winning an Unfair Game 1.  Identify the problem to solve:

- Get performance and get it reliably and affordably, while competing with richer, bigger players.

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Recap: Winning an Unfair Game 1.  Identify the problem to solve:

- Get performance and get it reliably and affordably, while competing with richer, bigger players.

2.  Find the solution to that problem - Predict performance; we know how to do it; the best

companies do it – but don’t try to compete on their terms

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Recap: Winning an Unfair Game 1.  Identify the problem to solve:

- Get performance and get it reliably and affordably, while competing with richer, bigger players.

2.  Find the solution to that problem - Predict performance; we know how to do it; the best

companies do it – but don’t try to compete on their terms

3.  Act on what we know: implement the solution - Assess people, assess jobs; use technology to do this quicker

and cheaper than traditional means

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Recap: Winning an Unfair Game 1.  Identify the problem to solve:

- Get performance and get it reliably and affordably, while competing with richer, bigger players.

2.  Find the solution to that problem - Predict performance; we know how to do it; the best

companies do it – but don’t try to compete on their terms

3.  Act on what we know: implement the solution - Assess people, assess jobs; use technology to do this quicker

and cheaper than traditional means

4.  Eliminate everything else - This is the hardest part; not done, you will lose an unfair game

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Thank you

Paul Basile

[email protected]