Using Analytics to Improve Retention Presented by: Shane Douthitt, - - PowerPoint PPT Presentation

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Using Analytics to Improve Retention Presented by: Shane Douthitt, - - PowerPoint PPT Presentation

Using Analytics to Improve Retention Presented by: Shane Douthitt, Ph.D. Submitting Questions Q&A icon Questions may be submitted at any time during the presentation. To submit a question: Click on the Question Mark icon (?) on the


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SLIDE 1

Using Analytics to Improve Retention

Presented by: Shane Douthitt, Ph.D.

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SLIDE 2

Submitting Questions

Questions may be submitted at any time during the presentation. To submit a question: Click on the Question Mark icon (?) on the floating toolbar (as shown at the right). This will open the Q&A window on your system

  • nly.

Type your question into the small dialog box and click the Send Button. Q&A icon

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SLIDE 3

Learning Objectives

  • How big of a problem is turnover for organizations?

The impact of turnover

  • Understand how to use your employee survey diagnose turnover at your
  • rganization

How to assess and analyze the drivers of turnover

  • A framework for building effective entrance and onboarding surveys

Diagnosing new hire turnover at YOUR organization

  • Case study examples of how to reduce new hire turnover

Reducing new hire turnover

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SLIDE 4

Work Group Speakers

Scott Mondore, PhD Managing Partner Hannah Spell, PhD Director of Research and Analytics Shane Douthitt, PhD Managing Partner Matt Betts, PhD Consultant

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SLIDE 5

Presenter

Shane Douthitt, Ph.D. Managing Partner sdouthitt@SMDhr.com smdhr.com/leadershipteam.html To stay up-to-date on all our research and presentations,

  • Join our LinkedIn page:

https://www.linkedin.com/company/strategic-management-decisions

  • Follow us on Twitter: @SMDHR
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SLIDE 6

SMD Link – Rethink Assessment

With a foundation in science, all of our tools and solutions work together through SMD Link and connect to your key business

  • utcomes –

whatever they may be.

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SLIDE 7

What Our Clients Typically See

Voluntary Turnover average reduction

  • f 11%

Customer Satisfaction average improvement of 5-15 percentiles Safety improvement in actual injuries of 17%

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SLIDE 8

Examples Business Outcomes

Financial

  • Profitability (see this especially in consulting industry)
  • % to budget goal
  • Revenue
  • Cost of Delivery

Productivity

  • Production (e.g., widgets produced)
  • Time to Proficiency with new hires
  • Absenteeism

New Product Development (see this a lot in Pharma R&D)

  • New Products Developed
  • Pipeline Progression
  • Milestone Completion

Turnover

  • Turnover
  • First year turnover
  • Regretted Loss turnover

Customer Satisfaction

  • Customer/patient Satisfaction
  • Customer Loyalty

Safety/Compliance

  • Falls/Safety Incidents
  • Compliance scores/certifications

Quality

  • On time delivery
  • Quality (e.g., % defects)
  • Quality of Care (healthcare)
  • Automation/Transformation

Sales

  • New Business Revenue
  • Quota attainment
  • Market Share
  • Contract Profitability (service industry)
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SLIDE 9

UNDERSTANDING TURNOVER

CASE STUDY THE DATA BALANCING ACT MEASURING ENTRANCE & ONBOARDING CASE STUDY INSIGHTS FOR YOUR ORGANIZATION

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SLIDE 10

Why We Care About Turnover

  • U.S. Voluntary turnover rate is 23.4% annually7
  • Turnover is getting more difficult to manage, 62% of HR

Professionals reported having difficulty hiring workers with essential skills for their workforce5

  • Turnover is an easily tracked metric, and one that HR can

demonstrate direct ROI by reducing

  • On average, about 1/3 of turnover occurs in the first 6 months
  • f employment
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SLIDE 11

The Cost of Turnover

  • Direct replacement costs typically 50-60% of an employee’s annual salary,

with total turnover costs ranging from 90-200% of the employees annual salary1

  • Must also consider costs for:

– Administrative time taken for separation processing – Developing and placing advertisements – Interviewing, reference checking, drug testing, orientation, and on-the-job training for a new employee2

  • Particularly for New Hires, turnover is even more costly because they

haven’t worked long enough to provide value to the organization that would offset their hiring costs

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SLIDE 12

Downstream Effects in Healthcare: Turnover & HCAHPS/Patient Sat.

  • Analyzed actual turnover data from 2014-present and Turnover ‘risk’

data from Employee Surveys and 2014-present HCAHPS/Pat. Sat. data from 200 acute-care facilities

  • Past turnover and current turnover risk is having a 3-4% impact on

HCAHPS & Pat. Sat.

Turnover & T.O. Risk HCAHPS/ Pat. Sat. 3-4% Impact

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SLIDE 13

Downstream Effects in Healthcare:

HCAHPS/Patient Sat. and Patient Outcomes

  • Patients’ overall experience, as measured with the Overall HCAHPS Ratings, is a key driver of patient Mortality and

Readmission rates.

  • The negative relationships in the model indicate that higher Overall HCAHPS Ratings result in lower Mortality and

Readmission rates. – For every one unit increase in the Overall HCAHPS score, average Mortality Rates decrease by .10 and average Readmission Rates decrease by .30.

* Results are based on CMS data from 1879 healthcare organizations across the United States. ** Higher values indicate a stronger impact based on a 0.0 to |1.0| scale.

(-.10) (-.30) Decreases

HCAHPS/ Pat. Sat. Readmission Rates Mortality Rates

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SLIDE 14

Is Turnover Risk a Good Proxy for Actual Turnover?

  • Org. A
  • Org. B
  • Org. C
  • Org. D
  • Org. E

Survey Dimension TR Term TR Term TR Term TR Term TR Term Career Development 3 4 3 Communication 1 Comp/Benefits 2 1 Customer Focus 3 3 Job Fit 1 1 2 2 2 3 Management 4 1 3 4 1 Mission 2 2 Quality 3 Safety 3 Senior Leaders 2 4 1 1 1 3 2 Teamwork 2 4 2 Work-life Balance 3 1

  • Numbers indicate statistically significant drivers
  • f either Turnover Risk or Actual Turnover.

Green when the same, red when different.

  • Turnover Risk measured by two items –
  • “I would like to be working at this
  • rganization three years from now.”
  • “I would feel comfortable referring

family and friends to this organization for employment.”

  • Turnover Risk is consistently the strongest

predictor of actual turnover, but the drivers are

  • ften times different when examining Turnover

Risk versus Actual Turnover as outcomes.

  • Analyzed drivers across 5 organizations,

representing more than 150,000 employees.

  • Commonly measured categories that were not

found as drivers of Turnover Risk or Actual Turnover were: Accountability, Staffing, Tools & Resources, and Wellness. TR = Turnover Risk Term = Actual Turnover

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SLIDE 15

UNDERSTANDING TURNOVER

CASE STUDY

THE DATA BALANCING ACT MEASURING ENTRANCE & ONBOARDING CASE STUDY INSIGHTS FOR YOUR ORGANIZATION

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SLIDE 16

Voluntary Turnover Rates

9.2 9.3 9.1 9.6 9.4 9.1 9.3 12.2 12.4 14.6 15.2 15.8 16.2 16.8 7.9 8.1 8.4 7.8 7.9 8.4 8.8 6 8 10 12 14 16 18 January February March April May June July

Turnover Rate by Month

Organization Overall Customer Care Reps Customer Care Managers

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SLIDE 17

Turnover Analysis Methodology

Goal: Identify the drivers of turnover by analyzing the experiences of employees that voluntarily left the organization.

  • 1022 Employees (across the entire organization) who took the 2017 employee survey have

voluntarily left the company

  • Key drivers of voluntary turnover identified using Logistic Regression Analysis
  • Item-level drivers of voluntary turnover were examined
  • The turnover driver analysis was conducted on two groups:

– Organization overall – Customer Care Reps

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SLIDE 18

Mean Differences Between Still Employed and Turned Over Employees

Category Still Employed

  • Vol. Turned

Difference

Supervisor 4.54 4.05

  • 0.49

Career Development 4.38 4.04

  • 0.34

Job Fit 4.22 3.79

  • 0.44

Senior Management 4.29 3.91

  • 0.38

Tools & Resources 4.32 3.95

  • 0.36

Management 4.25 3.92

  • 0.32

Fairness 4.23 3.92

  • 0.31

Staffing 3.82 3.53

  • 0.29

Engagement 4.69 4.41

  • 0.28

Customer Focus 4.50 4.26

  • 0.24

Work Life Balance 4.45 4.20

  • 0.24

Teamwork 4.31 4.08

  • 0.23

Communication 4.20 4.00

  • 0.21

Categories in bold italics have been identified as key drivers.

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SLIDE 19

What is a HeatMap?

  • A graphical plot that shows the impact of employees’ attitudes on a key business outcome.
  • Allows leaders to identify attitudes that are key drivers of business results and prioritize

improvement efforts in these areas.

Performance

(Average Rating)

Level of Impact Maintain Promote

Monitor Focus

HeatMap Interpretation 1. Focus: Low Performing | Key Driver 2. Monitor: Low Performing | Not Key Driver 3. Promote: High Performing | Key Driver 4. Maintain: High Performing | Not Key Driver

Analyzing Your Report:

Key Drivers of Turnover

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SLIDE 20

Organization Overall: Key Drivers of Turnover

Job Fit Career Development Supervisor Senior Mgmt Tools/Resources Staffing Work Life Balance Customer Focus Communication Fairness Management Teamwork 3.5 3.7 3.9 4.1 4.3 4.5 4.7 4.9 Performance (Average Score) Level of Impact on Turnover

Maintain Promote Focus Monitor

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SLIDE 21

Potential Impact on Turnover

A .15 increase in mean score can result in the potential reduction in turnover shown below:

Job Fit- 4.3% Supervisor- 6.5% Career Development- 5.4%

TOTALS

Total potential reduction = 16.2% Potential reduction of 166

  • f 1,022 voluntary turns

Nearly $5 million dollars in cost savings

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SLIDE 22

Priority Emp

  • Vol. Turned

Diff Survey Dimension Item

1

4.36 3.85

  • 0.51

Career Development

This company offers long-term opportunities for me.

2

4.52 4.00

  • 0.52

Job Fit

My job makes good use of my skills and abilities.

3

4.58 4.15

  • 0.43

Job Fit

My work gives me a sense of personal accomplishment.

4

4.32 3.93

  • 0.39

Supervisor

My supervisor develops people's abilities.

5

4.40 4.01

  • 0.39

Supervisor

My supervisor manages people well.

6

4.51 4.19

  • 0.32

Customer Focus

I have enough flexibility in my job to do what is necessary to provide good service to my customers.

7

4.42 4.13

  • 0.29

Supervisor

My supervisor is usually responsive to suggestions for change from employees.

Organization Overall: Overview of Critical Item-Level Drivers

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SLIDE 23

Priority Emp Vol. Turned Diff Survey Dimension Item

1

4.41 3.89

  • 0.53

Job Fit My work gives me a sense of personal accomplishment.

2

4.17 3.51

  • 0.65

Career Development This company offers long-term opportunities for me.

3

4.35 3.66

  • 0.69

Job Fit My job makes good use of my skills and abilities.

4

4.50 3.83

  • 0.67

Supervisor My supervisor manages people well.

5

4.38 3.71

  • 0.66

Supervisor My supervisor develops people's abilities.

6

4.41 3.74

  • 0.67

Supervisor My supervisor gives me recognition for a job well done.

7

4.46 3.94

  • 0.52

Supervisor My supervisor is usually responsive to suggestions for change from employees.

8

4.50 3.97

  • 0.52

Supervisor My supervisor communicates effectively.

Customer Care Reps (all locations): Overview of Critical Item-Level Drivers

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SLIDE 24

Turnover Key Driver Means for Customer Care Rep Managers – Location A

Red < 4.00 Green > 4.30 Career Development Career Development Job Fit Job Fit Supervisor Supervisor Supervisor Supervisor Supervisor Department Number of Responses Cust Care Rep Manager Career Development Job Fit Supervisor

This company offers long-term opportunities for me. I have a reasonably good idea of my possible career paths at this company. My job makes good use

  • f my skills and abilities.

My work gives me a sense of personal accomplishment. My supervisor manages people well My supervisor develops people's abilities My supervisor is usually responsive to suggestions for change from employees. My supervisor communicates effectively My supervisor gives me recognition for a job well done.

Supervisor 5 9 yes 2.63 3.56 2.88 2.78 2.67 3.22 3.89 2.33 2.56 2.56 2.67 3.33 Supervisor 24 7 yes 3.19 4.14 4.17 3.00 3.71 4.29 4.00 4.00 4.14 4.33 4.14 4.14 Supervisor 110 6 yes 3.33 4.58 4.23 3.33 4.00 4.33 4.83 4.17 4.17 4.00 4.17 4.17 Supervisor 11 9 yes 3.48 3.89 4.07 3.56 3.11 3.67 4.11 4.22 3.89 4.33 4.22 4.11 Supervisor 46 8 yes 3.67 4.31 4.28 3.13 4.13 4.50 4.13 4.50 4.00 4.25 4.63 4.25 Supervisor 21 5 yes 4.00 4.10 4.73 4.20 3.80 4.20 4.00 4.80 4.40 5.00 4.60 4.80 Supervisor 68 16 yes 4.09 4.44 4.55 4.06 4.06 4.44 4.44 4.63 4.31 4.50 4.50 4.69 Supervisor 30 7 yes 4.10 4.21 4.43 4.71 3.86 4.00 4.43 4.29 4.43 4.57 4.57 4.43 Supervisor 52 7 yes 4.10 4.36 3.96 4.57 3.71 4.29 4.43 4.00 3.86 3.86 3.86 3.86 Supervisor 61 5 yes 4.13 4.40 4.65 4.00 4.40 4.40 4.40 4.80 4.60 4.20 5.00 4.80 Supervisor 123 14 yes 4.14 4.61 4.67 4.14 4.50 4.57 4.64 4.64 4.57 4.79 4.64 4.57 Supervisor 72 30 yes 4.19 4.48 4.58 4.50 4.33 4.57 4.40 4.57 4.60 4.67 4.50 4.53 Supervisor 140 14 yes 4.26 4.68 4.82 4.21 4.36 4.50 4.86 4.93 4.86 4.64 4.93 4.93 Supervisor 75 7 yes 4.29 4.50 4.38 4.00 4.57 4.43 4.57 4.43 4.29 4.43 4.29 4.43 Supervisor 67 6 yes 4.33 4.42 4.42 4.50 4.50 4.33 4.50 4.50 4.67 4.50 4.83 4.17 Supervisor 113 16 yes 4.44 4.59 4.75 4.50 4.31 4.63 4.56 4.75 4.75 4.75 4.56 Supervisor 180 5 yes 4.60 4.80 4.28 4.60 4.60 4.80 4.80 4.00 4.00 4.40 4.20 4.40

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SLIDE 25

UNDERSTANDING TURNOVER CASE STUDY

THE DATA BALANCING ACT

MEASURING ENTRANCE & ONBOARDING CASE STUDY INSIGHTS FOR YOUR ORGANIZATION

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SLIDE 26

The Data Balancing Act

  • As organizations look to harvest the power of Big Data and HR

analytics, some will jump to the conclusion: We need more data!

  • Many organizations will jump right into collecting more data

without a clear strategy and plan

  • More data vs. harvesting intelligence from the right data
  • The need/opportunity is to harvest the power of data to

identify drivers of business outcomes

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SLIDE 27

More Data and More Measurement

  • Several “thought leaders” are discussing the need for more data and

more measurement in HR

  • Generally speaking, we agree that many organizations can improve the

quality and frequency of measurement

  • However, we DO NOT recommend simply increasing the frequency for

the sake of more measurement

  • There must be a measurement strategy with specific benefits and
  • utcomes

– Just because we can do something more often doesn’t mean it will add value

Great Blog on Pulse Surveys here

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SLIDE 28

An Example with a Simple Analogy

Purpose of employee surveys is to: 1. Listen to employees to uncover how you can help the business 2. Diagnose drivers of business results 3. Take action to improve those key drivers 4. Demonstrate impact Apply the model to weight loss: 1. Listen to our body – this is when we would take a baseline measurement and weigh ourselves. 2. Identify the drivers of being overweight – this is when we would identify root causes of our current weight. 3. Take action to improve those key drivers – this is where you build an action plan and execute against that plan. 4. Demonstrate impact – this is when we measure to assess the impact of our plan and make adjustments to our action plan for the next three months.

Just weighing yourself more often won’t make the pounds disappear!

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SLIDE 29

Measuring the Employment Lifecycle to Identify the Drivers of Turnover

Entrance Survey Onboarding Survey Engagement Survey & Turnover Risk Analysis Exit Survey

Web-based entrance survey that assesses the primary reasons an employee joins the

  • rganizations

Web-based onboarding survey that assesses the effectiveness of the

  • nboarding and
  • rientation process, as well

as the alignment of employee expectations with reality on the job Web-based employee engagement survey that includes advanced analytics to identify the key drivers of turnover risk Web-based exit survey that assesses the primary reasons for an employee leaving the

  • rganization

Predictive Assessments

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SLIDE 30

New Hire Turnover

  • We know that the drivers of turnover in the first six months are

typically VERY different than the drivers of turnover for more tenured employees

  • This alone suggests that a different measurement strategy is

required to specifically identify the drivers of new hire turnover

  • New employees may leave the organization before they take an

engagement/employee experience survey

  • The content of an entrance or on-boarding survey should be

aligned to your employee experience survey…but many of the items can be very different

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SLIDE 31

UNDERSTANDING TURNOVER CASE STUDY THE DATA BALANCING ACT

MEASURING ENTRANCE & ONBOARDING

CASE STUDY INSIGHTS FOR YOUR ORGANIZATION

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SLIDE 32

Drivers of New Hire Turnover

Across numerous organizations, new hire turnover occurs when:

An new employee’s expectations of the job don’t align with their early experiences in the role There is risk in “over-selling” a role, manager, or organization in the recruiting process This is why the concept of a “realistic job preview” is important – We recommend expanding fit to include Role, Manager, and Organization Fit

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SLIDE 33

Each Assessment/Survey Has Two Basic Purposes

1. Process/Program Evaluation

– The Hiring Process – The Recruiting Process – Onboarding Programs – Employee Benefit Programs – The Career Development Process

2. Measuring the Employee Experience /Attitudes

– Employee Expectations – Employee Engagement – Manager Feedback – Sense of Welcome/Belonging

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SLIDE 34

Components of Program Evaluation –

Onboarding Program Example

  • Turnover Rate
  • Time to Proficiency
  • New Hire Engagement

Outcome Evaluation

  • Recruiting Process
  • New Hire Expectations
  • Orientation Training
  • Manager Effectiveness

Process Evaluation

  • Orientation Participation
  • Manager Compliance
  • New Hire Turnover Risk
  • Turnover in first 6 months

Program Monitoring

Assess WHAT the program has achieved in terms of outcomes. Assess HOW the program is being implemented and delivered to the target population. Provide continuous monitoring of indicators of a program’s implementation.

Evaluation components in blue font can be measured with a survey.

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SLIDE 35

Why Analytics? Onboarding Program Example

Twelve Topics Measured on Onboarding Survey for Process Evaluation:

1. Recruitment/Hiring Process 2. Expectations 3. Orientation 4. Career Development 5. Job Fit 6. Manager 7. Mission/Vision 8. Tools/Resources 9. Teamwork 10. Welcome 11. Work-life Balance 12. Engagement

Program Outcomes

(e.g., new hire turnover, time to proficiency)

ANALYTICS

  • Analytics link Process Evaluation data to Program Outcomes
  • Analytics identify and prioritize the “root causes” of Program Outcomes – e.g., new

hire turnover

  • Analytics quantify the impact of the program & calculate ROI

What drives turnover?

What drives time to proficiency?

Is it working? Why is it working? How big is the impact?

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SLIDE 36

Onboarding Model

Entrance

  • Reasons for Joining
  • New Hire Expectations
  • Hiring/Recruiting

Process Feedback 30 Days

  • Expectations Met
  • Orientation
  • Manager
  • Tools/Resources
  • Welcome
  • Mission
  • Job Fit
  • Engagement

90-120 Days

  • Expectations Met
  • Manager
  • Tools/Resources
  • Welcome
  • Mission
  • Job Fit
  • Engagement
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SLIDE 37

Measuring the Employment Lifecycle to Identify the Drivers of Turnover

Entrance Survey Onboarding Survey Engagement Survey & Turnover Risk Analysis Exit Survey

Web-based entrance survey that assesses the primary reasons an employee joins the

  • rganizations

Web-based onboarding survey that assesses the effectiveness of the

  • nboarding and
  • rientation process, as well

as the alignment of employee expectations with reality on the job Web-based employee engagement survey that includes advanced analytics to identify the key drivers of turnover risk Web-based exit survey that assesses the primary reasons for an employee leaving the

  • rganization

Predictive Assessments

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SLIDE 38

Sample Lifecycle Items

Reasons For Joining Rate each of the 21 items on how important it was in your decision to accept the job offer. (1 to 5 Importance)

  • 1. Career fit
  • 2. Advancement opportunity
  • 3. Availability of promotional/advancement opportunities
  • 4. Existence of established career ladder (path)

New Hire Expectations (1 to 5 Agreement)

  • 22. I believe I have a realistic expectation of the work I will be doing.
  • 23. I feel well informed of my role and job responsibilities.
  • 24. I have a good sense of what my work environment will be like.
  • 25. I have a good sense of what working for my new manager will be like.

30 Day Onboarding (1 to 5 Agreement)

  • 1. The recruiter provided a clear timeline of the hiring process.
  • 2. I was updated and well-informed throughout the hiring process.
  • 3. I was provided with an effective orientation to this organization.
  • 4. I was provided with an effective orientation to my role.
  • 5. I am provided the training I need to be successful.
  • 6. The tools and resources that I have been provided enable me to do my job well.
  • 7. My experience in this job is consistent with how the job was explained to me during the

hiring process.

  • 8. During the hiring process, I was provided with an accurate description of the work I would

be doing in this role.

  • 9. I’m treated as a valued member of my work area/department.

10.My workgroup helps me feel welcome in my new role. 11.I like the work I do. Reasons For Leaving Rate each of the 26 items on how important it was in your decision to leave the organization. (1 to 5 Importance)

  • 1. Lack of career advancement opportunities
  • 2. Inadequate professional development opportunities
  • 3. Change in career
  • 4. To continue education
  • 5. Compensation/Pay

Employee Experience (1 to 5 Agreement)

  • 1. I had a personal relationship with my manager.
  • 2. My manager had regular conversations with me about my performance.
  • 3. My manager provided me with clear job performance expectations.

Entrance Onboarding 30 Day Onboarding 90 Day Exit

90 Day Onboarding (1 to 5 Agreement)

  • 1. The reality of my job is consistent with what was presented to me during orientation.
  • 2. My experiences with the organization are consistent with what was presented to me during
  • rientation.
  • 3. The tools and resources that I was provided enable me to do my job well.
  • 4. I am provided the training I need to be successful.
  • 5. The amount of work I have been given is consistent with my expectations per the job

description.

  • 6. The person I report to has been supportive during my onboarding.
  • 7. The person I report to takes time to get to know me.
  • 8. The person I report to helps me understand how the work I do contributes to the
  • rganization.
  • 9. I have a good understanding of the mission and the goals of this organization.

10.I thoroughly understand how my job contributes to this organization's mission.

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SLIDE 39

UNDERSTANDING TURNOVER CASE STUDY THE DATA BALANCING ACT MEASURING ENTRANCE & ONBOARDING

CASE STUDY

INSIGHTS FOR YOUR ORGANIZATION

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SLIDE 40

Case Study: Linking Employee Survey Data to Turnover

  • Target – Newly Hired Employees who left the organization voluntarily within one

year of start date

  • The Question – Why are new employees leaving the company?
  • Data

– Employee Surveys, New Hire Surveys – Actual Turnover

Large Hospital System

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SLIDE 41

Analysis Process

New Hire experiences were measured at 30 and 90 days post-hire Surveys were identified, but confidential Turnover data could then be merged into the survey data to flag new hires that had subsequently left the organization The turnover data was then used as the outcome in a logistic regression model with the survey topics as potential drivers

  • Thus, we could begin to understand aspects of the new hire experience that were

related to whether or not an employee left the organization

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SLIDE 42

Differences Between New Hires at 30 Days: Still Employed vs. Turned Over

Survey Category Still Employed Turned Over Difference (Term-Emp.) Expectations Index 4.43 4.13

  • 0.30

Tools & Resources 4.12 3.83

  • 0.29

Welcome 4.38 4.13

  • 0.25

Work-life Balance 4.33 4.08

  • 0.25

Onboarding 4.36 4.12

  • 0.24

Manager 4.37 4.16

  • 0.21

Mission 4.40 4.24

  • 0.16

Recruitment 4.31 4.18

  • 0.13
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SLIDE 43

Item-Level Drivers of 30 Day Turnover

Priority Category Item

1

Expectations My experience in this job is consistent with how the job was explained to me during the hiring process.

2

Welcome I’m treated as a valued member of my work area/department.

3

Tools & Resources The tools and resources that I was provided enable me to do my job well.

4

Welcome My workgroup helps me feel welcome in my new role.

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SLIDE 44

Differences Between New Hires at 90 Days: Still Employed vs. Turned Over

Survey Category Still Employed Turned Over Difference (Term-Emp.) Onboarding 4.35 3.94

  • 0.41

Engagement 4.53 4.13

  • 0.40

Tools & Resources 4.21 3.81

  • 0.40

Welcome 4.47 4.10

  • 0.37

Teamwork 4.45 4.11

  • 0.34

Job Fit 4.21 3.90

  • 0.31

Mission 4.43 4.13

  • 0.30

Manager 4.20 3.91

  • 0.29

Work-life Balance 4.21 3.92

  • 0.29
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SLIDE 45

Item-Level Drivers of 90 Day Turnover

Priority Category Item

1

Mission I understand how my role supports the mission of this

  • rganization.

2

Welcome This organization helped me feel welcome in my new role.

3

Mission I see our values demonstrated in everyday interactions with others.

4

Onboarding - Manager Support The person I report to has been supportive during my

  • nboarding.

5

Job Fit I like the work I do.

6

Work-Life Balance My workload allows me to have an appropriate work-life balance.

7

Expectations The reality of my job is consistent with what was presented to me during orientation.

8

Tools & Resources The tools and resources that I was provided enable me to do my job well.

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SLIDE 46

Results & Take-Aways

The strongest item driver from the survey is about the realities of the job being aligned with new hire expectations. Focus on realistic expectation setting. When the job experience of a new hire differs from that which the employee believes he/she is entering into, they are more likely to leave the organization soon after hire. New hire experiences of being treated as a valued member of the team are important to turnover. Ensure that managers and team members are creating a welcoming environment for new hires. Having the necessary tools and resources is an important factor in new hire retention. Ensure that new hires feel they are well equipped to being their jobs successfully. Connecting new hires to the overall mission of the

  • rganization in the first 90 days is an important

factor in new hire retention. Ensure that new hires understand how their role is connected to the mission of the organization; Managers and colleagues must demonstrate the core values of the organization on a daily basis.

RESULT TAKE-AWAY

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SLIDE 47

Item-Level Drivers of Nurse Turnover

Priority Category Item 1 Tools & Resources The tools and resources that I was provided enable me to do my job well. 2 Engage- ment I’m treated as a valued member of my work area/department. 3 Mission I have a sense of belonging and connection to the XYZ mission. 4 Manager The person I report to provided me with clear job performance expectations. 5 Manager The person I report to helps me understand how the work I do contributes to the patient experience. 6 Mission My daily work is meaningful.

30 Day Onboarding

Priority Category Item 1 Tools & Resources The tools and resources that I was provided enable me to do my job well. 2 Manager The person I report to has been supportive during my onboarding. 3 Teamwork My coworkers demonstrate high quality care/service. 4 Engage- ment I am proud to say that I work for XYZ. 5 Teamwork My coworkers and I work well together as a team. 6 Manager The person I report to helps me understand how the work I do contributes to the patient experience. 7 Manager The person I report to has regular conversations with me about my performance.

90 Day Onboarding

Priority Category Item 1 Safety Climate I would feel safe being treated here as a patient. 2 Mission I see our company values demonstrated in everyday interactions with others. 3 Safety Climate I know the proper channels to direct questions regarding patient safety in this work setting. 4 Mission We consistently demonstrate our core values by how we treat our patients, their families, and each other. 5 Manager The person I report to creates an environment of trust. 6 Manager The person I report to provides recognition for employees who do a good job.

Annual Survey Onboarding Recommendations

  • Educate on tools/resources
  • Provide clear expectations
  • Connect to the patient experience
  • Create a sense of belonging early
  • Be present & supportive during onboarding

Overall Recommendations

  • Focus on patient safety
  • Connect to the Mission
  • Create environment of trust
  • Provide recognition
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SLIDE 48

UNDERSTANDING TURNOVER CASE STUDY THE DATA BALANCING ACT MEASURING ENTRANCE & ONBOARDING CASE STUDY

INSIGHTS FOR YOUR ORGANIZATION

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SLIDE 49

3 Keys to Proactive New Hire Retention

1. Realistic Expectations

– Starting with recruitment, set realistic expectations about the job, responsibilities, hours/schedule, culture, the organization, and any other relevant aspects of the role – Work with managers to get a full understanding of the role to prepare new hires before they begin work

2. Valid selection process

– Understand the skillset needed for the position – Use a standardized process to assess candidates

3. Measure new hire experiences

– Use analytics to understand the drivers of premature turnover – Action plan with hiring managers on key drivers of turnover

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SLIDE 50

Practical Tips

  • Build and implement a measurement strategy
  • Measure the employee lifecycle to get feedback at different stages of employment – the

factors that drive turnover are often very different by stage

  • Identify drivers of actual turnover – turnover risk is good, but actual turnover is better
  • If you have a significant turnover in the first year of employment, consider implementing

entrance and onboarding surveys

  • Use surveys to evaluate programs/processes AND better understand employee experiences

across the lifecycle

  • Use analytics to connect the survey data to actual outcomes (e.g., turnover) –

understanding the drivers of outcomes is the key to program improvement and prioritization of action

  • Make the data actionable for managers
  • Communicate the impact of programs – make the business case!
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SLIDE 51
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SLIDE 52

Questions and Comments

  • Please use the chat function to submit a question
  • Recorded meeting and PPT deck will be posted to the HR Analytics

Work Group website

  • On HR Analytics Work Group LinkedIn page you can ask the group and

speakers additional questions after the meeting

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SLIDE 53

Next Meeting Analytics – Drive Business Outcomes Presented by Scott Mondore, Ph.D.

July 11th at 1:00pm EST Add to your calendar click here

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SLIDE 54

Let’s get in touch:

Shane Douthitt, Ph.D.

Managing Partner & Co-founder sdouthitt@smdhr.com 704.975.6820 smdhr.com

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SLIDE 55

Sources

  • 1Cascio, W.F. (2006). Managing Human Resources: Productivity, Quality of Work Life, Pro ts (7th ed.). Burr Ridge, IL:

Irwin/McGraw-Hill. Mitchell, T.R., Holtom, B.C., & Lee, T.W. 2001. How to keep your best employees: Developing an effective retention policy. Academy of Management Executive, 15, 96-108.

  • 2U.S. Dept of Labor, Turnover Cost Worksheet, http://www.dol.gov/cfbci/turnover.htm
  • 3Retaining Talent, Guide to Analyzing and Managing Employee Turnover. Society of Human Resource Management (2006).
  • 4Batt, R.( 2002). Managing Customer Services: Human Resource Practices, Quit Rates, and Sales Growth. Academy of

Management Journal, 45, 587-597. Huselid, M. 1995. The impact of human resource management on practices, on turnover, productivity, and corporate financial performance. Academy of Management Journal, 38, 291-313.

  • 5Collison, J. 2005. Future of the U.S. labor pool. SHRM Research.
  • 6Bureau of Labor Statistics, U.S. Department of Labor. (2015).