1© 2016 CareerBuilder

Setting the Hiring Manager’s Expectations: Use Big Data to Answer Big Questions

© 2015 CareerBuilder 2

The Global Problem61% of hiring managers said recruiters have a “low” to “moderate” understanding of the jobs for which they recruit

77% said that recruiters’ screening of candidates is inadequate

42% wish recruiters would build a talent pool for future positions

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80% of problems in recruiting are tied to Alignment

1. Discussions should start with the "work“2. Narrow down to key requirements3. Show “calibration” resumes4. Set realistic expectations - Cost, Quality or Speed

© 2016 CareerBuilder

Lesson #1: Big Questions and Answers

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+ =Big Data Big Question Big Answer

Why should I use data to recruit ?

In God we trust, everyone else must bring data.

Edward Deming

Set up expectations: Big Questions and Answers

• Where do my ideal candidates live and work?

• Who are my top competitors for this talent?

• Is my compensation on par with industry and market standards?

• What are the easiest and hardest market to recruit from ?

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64% of CB Data Clients bring Supply & Demand data to in-take meeting with hiring manager

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Lesson #2: Solve the problem.. Don’t just validate it with data

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Hadoop: demand is doubling every 6 months

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Hadoop: Resulting in tighter labor pressure

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Hadoop Profile

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Why are Design engineers not applying to my job ?

Lesson #3: 80% of problems in recruiting are tied to Alignment

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Previous Title• Research Associate• CAD Draftsman• Engineering

Technician• Production

Assistant• Process Technician

Current Title• Mechanical

Engineer

Next Title• Design Engineer• Consultant• Principal Engineer• Product

Development Manager

• Project Engineer

Previous Title Mechanical Engineer Next TitleResearch Associate Design Engineer

CAD Draftsman Consultant

Engineering Technician Principal Engineer

Production Assistant Product Development Manager

Process Technician Project Engineer

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Lesson #4: Understanding - Read between the lines

Don Norman

Former VP @ Apple

Author - Living with Complexity

“People don’t really want simplicity (no matter what they say), they want understanding.”

© 2015 CareerBuilder

FROM DATA TO WISDOM

Data Facts

Data

Connectedness

Understanding

Information

UnderstandingRelations

UnderstandingPatterns

UnderstandingPrinciples

Knowledge

WisdomInformation Data that are processed to be useful; provides answers to "who", "what", "where", and "when" questions

Knowledge Application of data and information; answers "how" questions

Understanding Appreciation of “why”

Wisdom Evaluated understanding

My internal and external recruitment teams are terrible. They can’t find this candidate? I will pay $100K if you can find help me fill this key position.

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Lesson #5: The Data Story is Essential

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Distribution of 2011 Application Activity by Salary (%)

Conclusion: Since 2011, applications to jobs paying $10.50/hr. (or less) made up only 15.4%

of relevant job seeker activity.

My pay is competitive. Why are job seekers not applying to my jobs?

Distribution of 2011 Application Activity by Salary (#)

Applications increase by 10% for every 50 cents in wages

Takeaways

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Lesson #1: Big Questions and AnswerLesson #2: Solve the problem.. Don’t just validate it with data Lesson #3: 80% of problems in recruiting are tied to Alignment Lesson #4: Understanding - Read between the linesLesson #5: The Data Story is Essential

Roadmap

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80% of problems in recruiting are tied to Alignment

Upload Job Description or Superstar Resume

Look at Candidate Supply for Job Title and Review Recommendations for Job Title

Prioritize Skills and Priorities for the Role

Compare Compensation by Location and Benchmark to Your Budget

Look at CVs that Might Match Requirements

Questions

© 2016 CareerBuilder