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Share it: #RecruitWithData How To Become A Data Driven Recruiter
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Page 1: How To Become A Data Driven Recruiter

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How To Become A Data Driven Recruiter

Page 2: How To Become A Data Driven Recruiter

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Page 3: How To Become A Data Driven Recruiter

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Ivan CasanovaChief Marketing Officer, Jibe@itsmeivan

Today’s Presenters

Matt CharneyExecutive Editor, Recruiting Daily@mattcharney

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Today, we’ll share:

5 ways to use data to improve your recruiting.

What metrics really matter.

2 companies that have put these principles into action.

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#RecruitWithData

@recruitddr

Let’s Tweet!

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27% say that the tools

they currently have actually

get in the way of their

ability to do their jobs.

Don’t Be A Tool.

64% express some

dissatisfaction with or have plans to replace their current(ATS).

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Recruiting Today: Tool Time?

65% of recruiters say that the tools they use today are not intuitive

59% say that they are not easy to customize

53% say their tools do not save them time

58% say that their tool is not resulting in money savings

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Enter: Big Data

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Big Data is Supposed To Help...

Except it’s hard to know where to start.

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Mo Data, Mo Problems?

• 25% of employers don’t know how to track source of hire.

• 33% of employers don’t know how to track cost per hire.

• 58% of employers don’t know how to track quality of hire.

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67% said they don’t trust the data they do receive.

75% reported that it’s difficult to share or explain the data with executives outside of HR.

62% said they don’t have access to or can’t easily extract data or metrics from their current systems.

Are We Ready for Big Data?

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Don’t Be Afraid.

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5 ways to use data to improve your recruiting

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Data takes you from “what you think” to “what you know.”

1. Data Matters. Don’t Fight It.

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Having the

data

Knowing

what the

data tells you

Knowing how

to implement

it.

Data Does Nothing. That’s Your Job.

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Define the problem.

Find out what data you

need to prove it.

Define outcomes.

Measure changes.

Build a business case.

You Can’t Manage What You Can’t Measure

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What worked for one

company may not work for

another.

Data should help employers

with actual business needs

and utilize the types of

data will help meet their

goals.

One Size Fits All Doesn’t Work.

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How do you sort through the seemingly

infinite pools of information employers

and recruiters are already creating and

make it easier to find and analyze the

data that’s actually relevant?

Make Metrics Matter.

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Make Metrics Matter.

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Make Metrics Matter.

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Job Board & Source Performance

Where are your hires coming from?

How much are they costing you?

Where can you save?

Where should you spend?

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The Application Funnel

How many candidates who start applications finish them?

How many candidates are coming from mobile?

How long does applying take?

How can we optimize our process?

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Conversion Rates.

Impressions to clicks. Clicks to applications. Applications to interviews. Applications to hires. Where are process issues? How can these improve?

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Putting It Into Action

Let’s look at real case studies from

early adopters who have already

embraced data-driven recruiting.

This is how they’re using

recruiting-related data to track

meaningful metrics and actionable

analytics to help them recruit top

talent.

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Case Study: Comcast

GOAL:

To recruit the best talent to

the intersection of media and

technology

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Case Study: Comcast

PLAN:

Improve candidate experience on

mobile.

Make the job application process

simple and engaging across the

Web and mobile devices.

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Before:

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After.

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Mobile Works.

Results:

Mobile job applicants increased by

19%

In 2014, more than 100,000 job

seekers applied for jobs at Comcast

on a mobile device.

360 NEW HIRES in 2 months

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Case Study: Informatica

GOAL:

Get the best tech talent

available in the toughest

market (Silicon Valley).

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PLAN:

Streamline application process.

Empower talent acquisition team

with the most innovative

technologies and visibility into the

recruiting process.

Case Study: Informatica

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Before:

• Application drop off rate approx. 40%.

• Average application took between 20-25 minutes.

• Very slow page loading times (and no mobile!)

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After:

• Application completion rate 84% within 3 months.

• Average application took between 4.48 minutes.

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Questions?

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Thank For Attending!

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