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©2017 Craig Haas, All rights reserved. 1
Employee Engagement, HR Metrics & Analytics
• Talent Strategist
• Organizational Development Consultant
• Leadership Development & Assessment
• Executive Assessment & Coaching
Dr. Craig Haas
SHRM-SCP, SPHR, GPHR
www.CraigHaas.com
©2017 Craig Haas, All rights reserved. 2
Some Key Terms
- Employee Engagement
- Big Data
- HR Metrics
- HR Analytics
©2017 Craig Haas, All rights reserved. 3
Employee Engagement
Our working definition…
Employee engagement is the emotional
commitment the employee has to the
organization and its goals
©2017 Craig Haas, All rights reserved. 4
What is Big Data?
©2017 Craig Haas, All rights reserved. 5
What are HR Metrics?
©2017 Craig Haas, All rights reserved. 6
Question
What Metrics do you track?
©2017 Craig Haas, All rights reserved. 7
Benefits of HR Metrics
• Feedback is required for continuous learning
• Accountability ‘What gets measured gets done’
• Quantify the value of HR
• Guide workforce strategies
• Maximize HR’s return on investments
• Show what HR contributes to business results
• Make the business case for HR’s objectives
©2017 Craig Haas, All rights reserved. 8
Challenges with Metrics
• “You can’t measure what we do…”
• Lack of clear purpose for measuring
• Lack of cooperation between departments
• Difficulty extracting data from multiple systems
• Difficulty understanding and analyzing metrics
• Numbers used to draw inaccurate conclusions
©2017 Craig Haas, All rights reserved. 9
Analytics use statistics to identify relationships between
data sets to help firms address problems and make
talent decisions.
Most HR organizations have been slow to adopt analytics – too
slow, in fact, in the minds of many impatient business leaders.
• For example, while ~50% of companies are using Online
Assessments…just 14% of HR organizations in the U.S are using
predictive analytics to make talent decisions (Bersin by Deloitte’s
study, 2013).
What Are Analytics
©2017 Craig Haas, All rights reserved. 10
What can HR Analytics help us to solve?
Staff Churn
Productivity
Sales Target
Achievemen
t
All sorts of business problems that involve people…
But first you need to have the relevant data sources.
©2017 Craig Haas, All rights reserved. 11
Employee Engagement
Research has shown it to be linked to important outcomes:
- Discretionary effort
- Job performance
- Employee retention
- Innovation
- Adapting to change
- Revenue & profitability
- Customer experience
Employee Engagement data shows you a snap shot in time
about the current state of Workforce Engagement.
©2017 Craig Haas, All rights reserved. 12
Where Shall We Focus?
©2017 Craig Haas, All rights reserved. 13
Can help Your Internal clients’ solve critical
problems and answer burning questions
It is not a complex as it seems,
but it requires a bit of statistics skills.
Predictive Analytics Applied to
Employee Engagement Data & Big HR Data
©2017 Craig Haas, All rights reserved. 14
what happens when we look
at a metric for one thousand
candidates?
14
Big Data Meets
Predictive Analytics
©2017 Craig Haas, All rights reserved. 15
15
15
Predictive Analytics
©2017 Craig Haas, All rights reserved. 16
16
16
Bell Curve
Average
©2017 Craig Haas, All rights reserved. 17
Correlations (r)
0
1
2
3
4
5
6
7
8
9
10
0 1 2 3 4 5 6 7 8 9 10
weight
height
Correlations(r) from +1.0 to -1.0
r = + 0.44
n = 16,948
USA population
©2017 Craig Haas, All rights reserved. 18
Negative Correlation
Example Use of Umbrellas
Correlations(r) from +1.0 to -1.0
©2017 BlueEQ. All rights reserved. 19
Correlations of common
medical procedures & outcomes
©2017 Craig Haas, All rights reserved. 20
Regression Line (prediction)
0
1
2
3
4
5
6
7
8
9
10
0 1 2 3 4 5 6 7 8 9 10
weight
height
©2017 Craig Haas, All rights reserved. 21
Antecedents of
Employee Engagement
Talent Acquisition & Onboarding
- Person-Organizational Fit
- Person- Job Fit
- Setting realistic work expectations
- Fostering positive work relationships
Talent Development
- Training & career development opportunities
- Supervisor development & coaching oriented
- Feedback loops
Leadership
- Supervisor as a people leader (positive leadership traits)
- Psychological safety - work climate in which employees can thrive
- Employees empowered to make important decisions
Org Practices
- Perceived organizational support, justice and fairness
- Merit based recognition & rewards
- Flexibility in work-life arrangements
©2017 Craig Haas, All rights reserved. 22
Start Small…Baby Steps
HR Analytics
©2017 Craig Haas, All rights reserved. 23
Analyzing Data
Microsoft Excel
•Formulas
Sum
Average & Median
Time Calculations
Correlations
Regressions
©2017 Craig Haas, All rights reserved. 24
Simple HR Analytics
with MS Excel
©2017 Craig Haas, All rights reserved. 25
Select a Column or Row: Left click on very top of column (or far
left end of row) and it will highlight the whole column (or row).
Average Formula: = average(A1, A2, A3)
Correlation Formula: =CORREL(array1, array2)
Note: an Array is any column (or a row) you select.
Formulas can be copied/pasted but you want to use ‘$’ to lock
down certain columns.
Excel Tips
©2017 Craig Haas, All rights reserved. 26
Select a Column or Row: Left click on very top of column (or far
left end of row) and it will highlight the whole column (or row).
Average Formula: = average(A1, A2, A3)
Correlation Formula: =CORREL(array1, array2)
Note: an Array is any column (or a row) you select.
Formulas can be copied/pasted but you want to use ‘$’ to lock
down certain columns.
Excel Tips
©2017 Craig Haas, All rights reserved. 27
Simple Reporting
Microsoft Excel (or equivalent)
• Reports
Tables
Bar Graphs
Pie Charts
Scatter Plots
Warning:
Do not show your internal client a big
Excel file spread sheet with lots of data!
©2017 Craig Haas, All rights reserved. 28
Execs Like Dashboards !
If you can visually present in an intuitive way the impact that
multiple variables have on a key outcome, you will more easily
make your point to the Executive Leadership Team.
MS Office or equivalent are fine…..but there are also some really
“Geeky Cool” Data Visualization tools available these days.
©2017 Craig Haas, All rights reserved. 29
Example of Using
MS Office for Dashboard:
A Business Case
on Selecting Salespeople
Excel & PPT
©2017 Craig Haas, All rights reserved. 30
New Sales Goal Achievement
An Excel Bar Graph
Percentage of New Sales Target Achievement
• High match score candidates achieved 98% of their sales target
• Moderate match score candidates achieved 63% of their sales target
• Low match score candidates only achieved 32% of their sales target
(averaged over 6 months)
©2017 Craig Haas, All rights reserved. 31
Closed Sales From Referrals
An Excel Pie Chart
# of New Sales from Salesperson’s Registered Referral Sources
• High score candidates closed 63% of all the referrals sales
• Moderate score candidates closed 32% of all the referral sales
• Low score candidates only closed 5% of all the referral sales
Series1, Low Match Score
Group, 0.05, 5%
Series1, Moderate Match
Score Group, 0.32, 32%
Series1, High Match Score
Group, 0.63, 63%
Low Match Score Group
Moderate Match Score Group
High Match Score Group
©2017 Craig Haas, All rights reserved. 32
Difference in Tenure
PPT Special Font for Emphasis
The average tenure for both
High and Moderate match score
candidates was at least
that of the Low match score candidates
Double
©2017 Craig Haas, All rights reserved. 33
Sunburst of Engagement Scores by Team Hierarchy
Source: OrgVue
Dashboards w/ Cool Data Viz Software
©2017 Craig Haas, All rights reserved. 34
Get Started Now – Easy Steps
Find a leader with a problem
Persuade him/her to let you use analytics to help solve it
Figure out what metrics/outcomes may be relevant predictors
& then collect the data
Create a combined score (regression formula) that predicts the
desired outcome
Initiate the intervention based on what you have learned and
measure change of performance over time
©2017 Craig Haas, All rights reserved. 35
HR Analytics Team Wanted
 Find a business leader who is willing to partner on an
analytics project to solve a problem (e.g. reducing turnover
or accidents)
 Create a project team (e.g. borrow talent from other
departments, leverage the local Univ. or a supplier)
 Get a small win and then promote its success
 Repeat above process a few times to collect some small
wins and build credibility with business leaders
©2017 Craig Haas, All rights reserved. 36
•Ask for resources to build an analytics team
•Process must be owned by Executives, Managers, HR,
Finance, and IT
•Review org strategy, objectives and then discuss the
leadership’s burning questions about talent?
•Select a problem or question to address
•Figure out what data be used to predict it
Once You’ve Proven It Works
©2017 Craig Haas, All rights reserved. 37
Craig Haas, PhD
Talent Strategist, OD Consultant & Coach
Mobile: 305-773-3167
Direct: 401-484-8348
chaas@AdvantagePerformance.com
I love networking let’s meet for coffee,etc.
Connect to me on LinkedIn
www.linkedin.com/in/craighaas
Twitter : @CraigDHaas
YouTube: http://bit.ly/2jtuM7f
Let’s Talk

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2017-09-Presentation (1).pptx

  • 1. ©2017 Craig Haas, All rights reserved. 1 Employee Engagement, HR Metrics & Analytics • Talent Strategist • Organizational Development Consultant • Leadership Development & Assessment • Executive Assessment & Coaching Dr. Craig Haas SHRM-SCP, SPHR, GPHR www.CraigHaas.com
  • 2. ©2017 Craig Haas, All rights reserved. 2 Some Key Terms - Employee Engagement - Big Data - HR Metrics - HR Analytics
  • 3. ©2017 Craig Haas, All rights reserved. 3 Employee Engagement Our working definition… Employee engagement is the emotional commitment the employee has to the organization and its goals
  • 4. ©2017 Craig Haas, All rights reserved. 4 What is Big Data?
  • 5. ©2017 Craig Haas, All rights reserved. 5 What are HR Metrics?
  • 6. ©2017 Craig Haas, All rights reserved. 6 Question What Metrics do you track?
  • 7. ©2017 Craig Haas, All rights reserved. 7 Benefits of HR Metrics • Feedback is required for continuous learning • Accountability ‘What gets measured gets done’ • Quantify the value of HR • Guide workforce strategies • Maximize HR’s return on investments • Show what HR contributes to business results • Make the business case for HR’s objectives
  • 8. ©2017 Craig Haas, All rights reserved. 8 Challenges with Metrics • “You can’t measure what we do…” • Lack of clear purpose for measuring • Lack of cooperation between departments • Difficulty extracting data from multiple systems • Difficulty understanding and analyzing metrics • Numbers used to draw inaccurate conclusions
  • 9. ©2017 Craig Haas, All rights reserved. 9 Analytics use statistics to identify relationships between data sets to help firms address problems and make talent decisions. Most HR organizations have been slow to adopt analytics – too slow, in fact, in the minds of many impatient business leaders. • For example, while ~50% of companies are using Online Assessments…just 14% of HR organizations in the U.S are using predictive analytics to make talent decisions (Bersin by Deloitte’s study, 2013). What Are Analytics
  • 10. ©2017 Craig Haas, All rights reserved. 10 What can HR Analytics help us to solve? Staff Churn Productivity Sales Target Achievemen t All sorts of business problems that involve people… But first you need to have the relevant data sources.
  • 11. ©2017 Craig Haas, All rights reserved. 11 Employee Engagement Research has shown it to be linked to important outcomes: - Discretionary effort - Job performance - Employee retention - Innovation - Adapting to change - Revenue & profitability - Customer experience Employee Engagement data shows you a snap shot in time about the current state of Workforce Engagement.
  • 12. ©2017 Craig Haas, All rights reserved. 12 Where Shall We Focus?
  • 13. ©2017 Craig Haas, All rights reserved. 13 Can help Your Internal clients’ solve critical problems and answer burning questions It is not a complex as it seems, but it requires a bit of statistics skills. Predictive Analytics Applied to Employee Engagement Data & Big HR Data
  • 14. ©2017 Craig Haas, All rights reserved. 14 what happens when we look at a metric for one thousand candidates? 14 Big Data Meets Predictive Analytics
  • 15. ©2017 Craig Haas, All rights reserved. 15 15 15 Predictive Analytics
  • 16. ©2017 Craig Haas, All rights reserved. 16 16 16 Bell Curve Average
  • 17. ©2017 Craig Haas, All rights reserved. 17 Correlations (r) 0 1 2 3 4 5 6 7 8 9 10 0 1 2 3 4 5 6 7 8 9 10 weight height Correlations(r) from +1.0 to -1.0 r = + 0.44 n = 16,948 USA population
  • 18. ©2017 Craig Haas, All rights reserved. 18 Negative Correlation Example Use of Umbrellas Correlations(r) from +1.0 to -1.0
  • 19. ©2017 BlueEQ. All rights reserved. 19 Correlations of common medical procedures & outcomes
  • 20. ©2017 Craig Haas, All rights reserved. 20 Regression Line (prediction) 0 1 2 3 4 5 6 7 8 9 10 0 1 2 3 4 5 6 7 8 9 10 weight height
  • 21. ©2017 Craig Haas, All rights reserved. 21 Antecedents of Employee Engagement Talent Acquisition & Onboarding - Person-Organizational Fit - Person- Job Fit - Setting realistic work expectations - Fostering positive work relationships Talent Development - Training & career development opportunities - Supervisor development & coaching oriented - Feedback loops Leadership - Supervisor as a people leader (positive leadership traits) - Psychological safety - work climate in which employees can thrive - Employees empowered to make important decisions Org Practices - Perceived organizational support, justice and fairness - Merit based recognition & rewards - Flexibility in work-life arrangements
  • 22. ©2017 Craig Haas, All rights reserved. 22 Start Small…Baby Steps HR Analytics
  • 23. ©2017 Craig Haas, All rights reserved. 23 Analyzing Data Microsoft Excel •Formulas Sum Average & Median Time Calculations Correlations Regressions
  • 24. ©2017 Craig Haas, All rights reserved. 24 Simple HR Analytics with MS Excel
  • 25. ©2017 Craig Haas, All rights reserved. 25 Select a Column or Row: Left click on very top of column (or far left end of row) and it will highlight the whole column (or row). Average Formula: = average(A1, A2, A3) Correlation Formula: =CORREL(array1, array2) Note: an Array is any column (or a row) you select. Formulas can be copied/pasted but you want to use ‘$’ to lock down certain columns. Excel Tips
  • 26. ©2017 Craig Haas, All rights reserved. 26 Select a Column or Row: Left click on very top of column (or far left end of row) and it will highlight the whole column (or row). Average Formula: = average(A1, A2, A3) Correlation Formula: =CORREL(array1, array2) Note: an Array is any column (or a row) you select. Formulas can be copied/pasted but you want to use ‘$’ to lock down certain columns. Excel Tips
  • 27. ©2017 Craig Haas, All rights reserved. 27 Simple Reporting Microsoft Excel (or equivalent) • Reports Tables Bar Graphs Pie Charts Scatter Plots Warning: Do not show your internal client a big Excel file spread sheet with lots of data!
  • 28. ©2017 Craig Haas, All rights reserved. 28 Execs Like Dashboards ! If you can visually present in an intuitive way the impact that multiple variables have on a key outcome, you will more easily make your point to the Executive Leadership Team. MS Office or equivalent are fine…..but there are also some really “Geeky Cool” Data Visualization tools available these days.
  • 29. ©2017 Craig Haas, All rights reserved. 29 Example of Using MS Office for Dashboard: A Business Case on Selecting Salespeople Excel & PPT
  • 30. ©2017 Craig Haas, All rights reserved. 30 New Sales Goal Achievement An Excel Bar Graph Percentage of New Sales Target Achievement • High match score candidates achieved 98% of their sales target • Moderate match score candidates achieved 63% of their sales target • Low match score candidates only achieved 32% of their sales target (averaged over 6 months)
  • 31. ©2017 Craig Haas, All rights reserved. 31 Closed Sales From Referrals An Excel Pie Chart # of New Sales from Salesperson’s Registered Referral Sources • High score candidates closed 63% of all the referrals sales • Moderate score candidates closed 32% of all the referral sales • Low score candidates only closed 5% of all the referral sales Series1, Low Match Score Group, 0.05, 5% Series1, Moderate Match Score Group, 0.32, 32% Series1, High Match Score Group, 0.63, 63% Low Match Score Group Moderate Match Score Group High Match Score Group
  • 32. ©2017 Craig Haas, All rights reserved. 32 Difference in Tenure PPT Special Font for Emphasis The average tenure for both High and Moderate match score candidates was at least that of the Low match score candidates Double
  • 33. ©2017 Craig Haas, All rights reserved. 33 Sunburst of Engagement Scores by Team Hierarchy Source: OrgVue Dashboards w/ Cool Data Viz Software
  • 34. ©2017 Craig Haas, All rights reserved. 34 Get Started Now – Easy Steps Find a leader with a problem Persuade him/her to let you use analytics to help solve it Figure out what metrics/outcomes may be relevant predictors & then collect the data Create a combined score (regression formula) that predicts the desired outcome Initiate the intervention based on what you have learned and measure change of performance over time
  • 35. ©2017 Craig Haas, All rights reserved. 35 HR Analytics Team Wanted  Find a business leader who is willing to partner on an analytics project to solve a problem (e.g. reducing turnover or accidents)  Create a project team (e.g. borrow talent from other departments, leverage the local Univ. or a supplier)  Get a small win and then promote its success  Repeat above process a few times to collect some small wins and build credibility with business leaders
  • 36. ©2017 Craig Haas, All rights reserved. 36 •Ask for resources to build an analytics team •Process must be owned by Executives, Managers, HR, Finance, and IT •Review org strategy, objectives and then discuss the leadership’s burning questions about talent? •Select a problem or question to address •Figure out what data be used to predict it Once You’ve Proven It Works
  • 37. ©2017 Craig Haas, All rights reserved. 37 Craig Haas, PhD Talent Strategist, OD Consultant & Coach Mobile: 305-773-3167 Direct: 401-484-8348 chaas@AdvantagePerformance.com I love networking let’s meet for coffee,etc. Connect to me on LinkedIn www.linkedin.com/in/craighaas Twitter : @CraigDHaas YouTube: http://bit.ly/2jtuM7f Let’s Talk

Editor's Notes

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  2. HR Metrics is the name we apply to what we have probably been doing all along. Collecting data, producing reports, and monitoring HR activities.
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