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Human Capital
Management
Practices
DECEMBER2016
Sponsored by
Contents
Executive
Summary
3
A Mix of Good and
Bad HC News
6
Finding One:There’s
Cautious Optimism
About Workforce
Forecasting
6
Finding Two: Most
Agree We Can Model
the Workforce
7
Finding Seven: Most Can Cite
Links Among Engagement,
Customer Satisfaction
and Profits
13
Finding Five: ItTakes
Months for Employees to
Reach Full Productivity,
But the Process Can
Be Speeded Up
Finding Six:There Are
Various Predictive
Indicators of
Turnover
11 12
Finding Four:There’s
Pessimism About
Productivity
10
Finding Eleven:
Referrals are, far and
away, the favorite
recruiting tool
18
Finding Eight: Many
Respondents Say Their
Leaders Do Not
Effectively Manage 
Human Capital
15
Finding Nine: Only Half
Say Their Leadership
Correlates with Key
Human Capital Factors
16
Finding Ten:There
Are Disagreements
About Where to Find
the Best Talent
17
Finding Twelve: Less
Than Half Say They
Measure the Quality
of New Hire
19
Top Takeaways
20
Finding Three:There’s
Disagreement About the ROI
on Human Capital
8
2
Executive Summary
3
Have we entered an era of HR doldrums?
It’s a reasonable question, given some of the responses to a new survey conducted by HR.com in partnership
with ClearCompany.
Let’s start with the bad news. Many HR professionals view today’s worker productivity as either stagnant or
in decline. Even worse, only a minority believe their leaders are effectively managing human capital.
On the other hand, they tend to be optimistic about issues such as forecasting and modeling the workforce.
In other words, they believe in our collective ability to improve future workforce management results.
About the Survey
This report is based on the HR.com survey “Human Capital Management Analytics and
Metrics,” which was sponsored by ClearCompany. The survey was conducted in October
and November 2016, and it received responses from 390 participants. The respondents
represented a wide array of organizations, over half of them operating in more than one
nation and most employing 100 or more employees.
4
This report not only contains the findings from the survey but also the implications of those findings.At the
end of the report are important takeaways.
Here’s a quick look at some of the key findings:
•• The Future: Most respondents not only believe it’s possible to accurately forecast
	 workforce needs, they think it’s possible to model the workforce in a way that optimizes
	 costs, productivity and profits.
•• Leadership: Only 37% of participants say that their leaders effectively manage human capital, 		
	 and only about a third report that leadership actions are correlated to engagement, retention
	 and performance.
•• Recruitment: Referrals are the most widely cited source for finding top talent as well as 			
	 employees who are a good cultural fit.
•• Talent: Respondents are split as to whether the best talent comes from internal or
	 external sources.
•• Productivity: Just 44% say productivity is on the rise.
5
•• Time-to-Full-Productivity: Although it takes months to make new hires fully productive,
	 there are ways of speeding up the process.
•• Employee Turnover: HR professionals can anticipate employee turnover via multiple
	 measurable indicators.
•• Return on Investment: There’s no consensus about the notion that the ROI on human 			
	 capital is higher than on other assets.
6
Section One: A Mix of Good
and Bad HC News
Finding One: There’s Cautious Optimism About Workforce Forecasting
HR.com’s HCMAnalytics and Metrics survey contained two major sections.This first section asked respondents
for their views on the “workforce in general.” In other words, the responses do not necessarily reflect the
status within their own organizations but, rather, the business environment and the labor force as a whole.
The idea was to determine if most HR and management professionals saw the human-capital world in a
similar way. Generally speaking, we found that opinions vary on a number of key issues.
When respondents were asked if it’s possible to accurately
forecast workforce needs, a majority (59%) said yes. But
there’s certainly no consensus on the issue.A sizable minority
(41%) indicated they were not confident organizations
can accurately forecast future needs.This perspective suggests
that business demands, skill-set requirements and other
factors are difficult to anticipate.It assumes that employers,
educational institutions and learners themselves can only
estimate which skill sets will be most essential in the
months and years to come.
Can we accurately forecast
workforce needs in the future?
41%
59%
YES NO
Implications: Although there’s no consensus as to whether
accurate workforce forecasting is possible, this data suggests many
HR professionals see it as workable and would, therefore, be open
to forecasting efforts, methods and tools.
7
Can we model our workforce to
optimize cost, profit and productivity?
Finding Two: Most Agree We Can Model the Workforce
Most respondents (70%) reported that it’s possible to model workforces in such a way as to “optimize
cost, profit and productivity.” This implies that most organizations—and society as a whole—have a solid
understanding of how to get the most out of today’s human resources. It assumes the following:
Only 8% of respondents said workforces cannot be modeled to achieve these aims, but nearly a quarter
(22%) reported that they were not sure one way or the other.
•• Workforce planners can efficiently hire and
	 allocate skilled people and then place them
	 in the right positions
•• Managers are able to organize and engage
	 their direct reports well
•• Compensation specialists are good at
	 paying employees enough to keep turnover
	 at acceptable rates but not so much as to
	 weaken profit margins 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
70%
YES NOT SURE NO
22%
8%
Implications: As with workforce forecasting, a majority of respondents believe in the efficacy of
workforce models This implies that HR professionals are willing to base certain decisions on workforce
models and may even become willing to participate in the building of such models.
8
Finding Three: There’s Disagreement About the ROI on Human Capital
In the field of HR, there have long been debates over whether the return on investment (ROI) on human
capital is higher or lower than on other types of assets (e.g., equipment, buildings, infrastructure, etc.). On
one side of the debate are those who claim that investing in people via training and expenditures actually
raises the value of human capital over time, whereas investments in physical assets, although necessary, must
contend with the fact that those assets almost immediately begin to depreciate through wear and tear.
On the other side of the debate are those who contend that investments in human capital are fraught with
hazard because organizations cannot own those assets.At best, they can only “rent” them.Therefore, an
organization may pour thousands of dollars into increasing the skills sets and experience of an employee,
only to have them leave the firm and perhaps take those skills to a competing organization.
Is the ROI on Human Capital Higher Than Other Investments
48%
28%
24%
YES NOT SURE NO
Implications: There is no consensus about the ROI on human
capital. Therefore, HR professionals should be careful not to assume
colleagues will accept ROI claims. If others are to be convinced, HR
professionals must demonstrate compelling models and data.
9
Therefore, it’s little wonder that the participants in this study are divided over the question of whether ROI on
human capital is higher than other investments.While nearly half say they are, about a quarter say they are
not and the other 28% are just not sure. (We should note that some HR professionals object to the very idea
of categorizing human beings as capital).
ROI not only hinges on abstract issues such as accounting practices, but also on a range of company-specific
factors such as turnover rates, training expenses, skill shortages and productivity rates.
Another complication, according to the survey results, is that there’s no consensus about the portion of to-
day’s workforce that is customer-facing or revenue-generating.About half of the respondents said a majority
of the workforce is customer-facing or revenue-generating, and another 27% said the proportion is about
half and half. Nonetheless, over three quarters of respondents believe at least half of the workforce directly
generates revenue in some way and/or interacts with customers on a regular basis. If managed well, the po-
tential ROI on these employees could be very high indeed.
10
Finding Four: There’s Pessimism About Productivity
Respondents were asked about workforce productivity. Only 44% said the workforce productivity is increasing,
whereas over a third said it was static and almost one in five that it was actually decreasing.
Is productivity literally decreasing? Of course, it may be declining in any given annual quarter in any nation,
but productivity tends to grow over time in most countries.The problem is that productivity growth has
been fairly dismal in the United States, Canada, and various other countries in recent years.Therefore, it’s
not surprising to find that many respondents are pessimistic on this score.
44%
36%
19%
INCREASING STATIC DECREASING
0
0.05
0.10
0.15
0.20
0.25
0.3
0.35
0.4
0.45
0.5 Implications: The pessimism about productivity suggests a larger crisis of confidence:
that management tactics, tools and technologies are not doing a good enough job of
making employees more productive. On the other hand, it suggests HR professionals
and managers may be willing to invest in machine learning, augmented reality, robotics
and other emerging technologies that could significantly affect productivity levels.
Is workforce productivity increasing, decreasing or static?
11
Finding Five: It Takes Months for Employees to Reach Full Productivity,
But the Process Can Be Speeded Up
Over half of the respondents stated that it takes at least five
months for the average new hire to reach full productivity, with
32% saying it takes three to four months and 29% saying it
takes anywhere from six months to a year.
This data suggests that, in today’s economy, relatively few HR
and management professionals believe it is easy to get new
employees up-to-speed quickly. It takes time and experience,
which means that losing fully productive employees to turnover
can cause significant drops in overall performance levels.
When necessary, however, it’s possible to bring employees up-
to-speed a little more quickly.When it comes to employees in
critical roles, over half of respondents (55%) believe the average
time-to-full productivity is anywhere from 1 to 4 months. By
comparison, just 48% said the time to-full productivity for the
average new hire was between 1 and 4 months.
What is the average time-to-full-
productivity for new hires?
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
16%
32%
23%
28%
1-2 MONTHS 3-4 MONTHS 5-6 MONTHS 6MONTHS-1YEAR
Implications: There is no magic bullet for
ramping up productivity among new hires, but
there are tactics that can help quicken the pace.
This implies an especially important role for
training and development experts, onboarding
programs, mentors and coaches when it comes to
critical roles.
12
Finding Six: There Are Various Predictive Indicators of Turnover
Respondents pointed to a wide variety of issues that can be predictive of turnover. Below are among the
top answers to this question:
1. Increased absenteeism
2. Lower engagement levels
3. Lower job satisfaction
4. Lower productivity and performance levels
5. Attitude and morale problems
6. Issues related to pay/remuneration/salary/compensation
7. Low quality of management and supervision
8. Approaching retirement age
9. Inadequate training opportunities
10. Lack of growth opportunities
Implications: There is a wide variety of possible predictors of turnover.
The question is whether these predictors can be integrated into analytics
applications capable of empirically demonstrating their predictive value.
Another key question, of course, is whether employers can use such data
to reduce the voluntary turnover rates among productive employees.
13
•	All must be linked tightly. Employees must be 			
	 engaged to produce a quality product. Quality products
	 yield returning customers who in turn allow us to
	 generate revenue and make a profit. It starts with
	 the employee.
•	An un-engaged nurse means a dissatisfied
	 customer, which means patients will go to our
	competitor.
•	Employee engagement can create happier 				
	 employees and increase in productivity, which can
	 lead to customer satisfaction and increase in profit.
•	Engaged employees influence customer
	 satisfaction, which influences sales.
•	If employees are disgruntled, it shows in lower
	 customer service and empathy and reduces
	revenue.
•	The more engaged our employees are, the more
	 productive they are, the better the quality of work.
Some tried to define the relationships among these
factors, with responses such as:
•• All are interconnected
•• Cause and effect relationship
•• Direct correlation
•• Direct link
•• Strong
Survey participants were asked, “What is the
link between employee engagement, customer
satisfaction, revenue and profits?”They responded
in a variety of ways.
Many simply confirmed that there’s a connection
among these five factors, with responses such as:
Finding Seven: Most Can Cite Links Among Engagement,
Customer Satisfaction and Profits
14
Implications: Respondents tend to believe in the links among
employee engagement, customer satisfaction, revenue and
profits, but some think this relationship boils down to a larger
factor, such as leadership or culture.
A few even tried their hand at creating “formulas” such as:
And some tried to single out a key issue that links the others together, such as:
•• Employee engagement + customer
	 satisfaction = Revenue + profit
•• E+CS = R & P exponentially
•• ROI + OIR = revenue + profits
•• Commitment
•• Communication
•• Culture
•• Employee Satisfaction
•• Leadership
•• Money
•• Performance
•• Productivity
•• Training
•• Work environment
15
Study participants were asked if their organizational leaders
effectively manage human capital. Most respondents either
answered this question in the negative (44%) or were not
sure (19%).This means that less than two fifths of participants
stated that their leaders were effectively managing human
capital at their organizations.
It’s tempting to assume that this is more likely to be a
problem among smaller organizations rather than in larger
firms.After all, larger firms have more resources to invest in
robust leadership development programs. However, the data
does not suggest much of a difference.Among respondents
from organizations with 20,000 or more employees, for
example, nearly half of the respondents said their leaders are
not effectively managing human capital, compared with only
31% who said leaders were (the rest were not sure).
Are leaders effectively managing
human capital at your company?
Implication: Managing human capital well is
among the hallmarks of good leadership, so it’s
worrisome that many respondents do not believe
their leaders are effective in this area. It suggests
that a lot of organizations are failing to effectively
develop, select, promote, measure and reward
good leadership.
19%
37%
44%
NO YES NOT SURE
Finding Eight: Many Respondents Say Their Leaders Do Not
Effectively Manage Human Capital
16
Participants were asked if leaders in their organizations “correlate to employee engagement, retention and
performance results?” Only about half of the respondents said it did correlate, whereas about a third said it
didn’t and 15% didn’t know.
Finding Nine: Only Half Say Their Leadership Correlates with
Key Human Capital Factors
Do leaders correlate to employee engagement, retention and performance results?
34%
51%
15%
NO YES NOT SURE
Implication: This finding requires more investigation in a future study.
Does it imply that half of respondents did not see any relationship,
not even a negative one, between leadership and, say, employee
engagement? Or does it, as in the previous question, imply that many
leaders are bad at engaging workers and enhancing their performance?
Whichever interpretation we use, this indicates that many organizations
continue to suffer from poor leadership.
17
Respondents were almost evenly split in regard to where their best talent comes from, with 53% saying
it came from internal sources and 47% saying it came from external sources.
Finding Ten: There Are Disagreements About Where to Find the Best Talent
Where does your best talent come from?
Implication: Since there’s no consensus, this probably indicates that
different types of organizations require different recruitment strategies.
For example, an organization with a strong culture, unique product and
low turnover is likely to find more talent internally than externally. In
contrast, an organization that sells a commodity and has high turnover
may do better seeking talent externally.
52%
48%
INTERNAL SOURCES EXTERNAL SOURCES
Finding Eleven: Referrals are, far and away, the favorite recruiting tool
What recruiting source yields the most high performers?
Respondents were asked about the best recruiting sources for high performers and the best for finding job
candidates who are a good cultural fit. It turns out that in both cases, referrals are by far the favorite recruit-
ment sources.About three fifths of respondents said referrals yield the best cultural fit and 53% say they yield
the highest performers.
There were, however, a few minor differences in terms of how respondents viewed these questions. Social
networks and career sites were tied as the second most commonly cited sources for yielding the best cultural
fit. However, when it comes to recruiting high performers, social networks were cited less frequently than were
career sites and job boards.
Implication: The world is rife with social networks, online
job boards, career sites, and more. However, employers
still believe they derive the greatest value from new hires
who have been referred to them by current employees or
some other source they know.
53%
15% 14%
9%
4%
0
0.1
0.2
0.3
0.4
0.5
0.6
REFERRALS CAREER
SITE
JOB
BOARDS
SOCIAL
NETWORKS
OTHER
18
19
47%
38%
15%
YES NO NOT SURE
Finding Twelve: Less Than Half Say They Measure the Quality of New Hires
Employers may place a high value on referrals, but that doesn’t mean they necessarily track the quality of their
new hires. In fact, fewer than half (47%) stated that they measure the quality of their new hires, whereas
about two-fifths said they didn’t and 15% were unsure.This is a surprising finding, given how much is at stake
when making new hires.
Perhaps this is linked to the fact that so many hires are for entry-level positions.The survey found that most
(75%) of respondents stated that entry-level employees had the highest voluntary turnover. Only a fifth said
managers did.
Do you measure the quality of your new hires?
Implication: It’s surprising that so few employers
measure the quality of new hires in this era of big data,
sophistical software packages, and predictive analytics.
To the degree organizations are suffering productivity
problems, as inferred in a previous question, they may well
benefit by tracking how well new hires work out for their
organizations.
20
Top Takeaways
•• Gauge the degree to which your leaders are skilled in human capital management.This study 		
	 suggests many leaders are viewed as having poor skills in this area.They have a hard time
	 “moving the needle” in terms of employee engagement, retention or performance. If organizations 	
	 wish to establish leadership success metrics, they should consider running correlations between 	
	 those metrics and other organizational needs: engagement, retention of valuable talent, workforce 	
	 productivity and business performance.
•• Consider establishing quality-of-hire metrics. Fewer than half of the respondents say their firms 		
	 have such metrics, yet recruitment is the life blood of any organization.
•• Investigate ways of shortening the time-to-full-productivity for employees.This study shows that 	
	 organizations can find ways of shortening the cycle for critical positions. If some of the same
	 techniques can be cost-effectively established for other positions, then a net gain in productivity 	
	 could be substantial.
•• Measure and hone the employee referral process. Referrals are widely viewed as the best source 	
	 for recruiting high performers as well as those who fit the culture well.
•• Be proactive in the area of human capital management.The study indicates that many participants are 	
	 optimistic that we collectively have the ability to accurately model and forecast workforce trends.To do 	
	 this well, companies require robust and reliable data, both from internal and external sources.

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How To Help Leaders Effectively Manage Today’s Human Capital

  • 2. Contents Executive Summary 3 A Mix of Good and Bad HC News 6 Finding One:There’s Cautious Optimism About Workforce Forecasting 6 Finding Two: Most Agree We Can Model the Workforce 7 Finding Seven: Most Can Cite Links Among Engagement, Customer Satisfaction and Profits 13 Finding Five: ItTakes Months for Employees to Reach Full Productivity, But the Process Can Be Speeded Up Finding Six:There Are Various Predictive Indicators of Turnover 11 12 Finding Four:There’s Pessimism About Productivity 10 Finding Eleven: Referrals are, far and away, the favorite recruiting tool 18 Finding Eight: Many Respondents Say Their Leaders Do Not Effectively Manage  Human Capital 15 Finding Nine: Only Half Say Their Leadership Correlates with Key Human Capital Factors 16 Finding Ten:There Are Disagreements About Where to Find the Best Talent 17 Finding Twelve: Less Than Half Say They Measure the Quality of New Hire 19 Top Takeaways 20 Finding Three:There’s Disagreement About the ROI on Human Capital 8 2
  • 3. Executive Summary 3 Have we entered an era of HR doldrums? It’s a reasonable question, given some of the responses to a new survey conducted by HR.com in partnership with ClearCompany. Let’s start with the bad news. Many HR professionals view today’s worker productivity as either stagnant or in decline. Even worse, only a minority believe their leaders are effectively managing human capital. On the other hand, they tend to be optimistic about issues such as forecasting and modeling the workforce. In other words, they believe in our collective ability to improve future workforce management results. About the Survey This report is based on the HR.com survey “Human Capital Management Analytics and Metrics,” which was sponsored by ClearCompany. The survey was conducted in October and November 2016, and it received responses from 390 participants. The respondents represented a wide array of organizations, over half of them operating in more than one nation and most employing 100 or more employees.
  • 4. 4 This report not only contains the findings from the survey but also the implications of those findings.At the end of the report are important takeaways. Here’s a quick look at some of the key findings: •• The Future: Most respondents not only believe it’s possible to accurately forecast workforce needs, they think it’s possible to model the workforce in a way that optimizes costs, productivity and profits. •• Leadership: Only 37% of participants say that their leaders effectively manage human capital, and only about a third report that leadership actions are correlated to engagement, retention and performance. •• Recruitment: Referrals are the most widely cited source for finding top talent as well as employees who are a good cultural fit. •• Talent: Respondents are split as to whether the best talent comes from internal or external sources. •• Productivity: Just 44% say productivity is on the rise.
  • 5. 5 •• Time-to-Full-Productivity: Although it takes months to make new hires fully productive, there are ways of speeding up the process. •• Employee Turnover: HR professionals can anticipate employee turnover via multiple measurable indicators. •• Return on Investment: There’s no consensus about the notion that the ROI on human capital is higher than on other assets.
  • 6. 6 Section One: A Mix of Good and Bad HC News Finding One: There’s Cautious Optimism About Workforce Forecasting HR.com’s HCMAnalytics and Metrics survey contained two major sections.This first section asked respondents for their views on the “workforce in general.” In other words, the responses do not necessarily reflect the status within their own organizations but, rather, the business environment and the labor force as a whole. The idea was to determine if most HR and management professionals saw the human-capital world in a similar way. Generally speaking, we found that opinions vary on a number of key issues. When respondents were asked if it’s possible to accurately forecast workforce needs, a majority (59%) said yes. But there’s certainly no consensus on the issue.A sizable minority (41%) indicated they were not confident organizations can accurately forecast future needs.This perspective suggests that business demands, skill-set requirements and other factors are difficult to anticipate.It assumes that employers, educational institutions and learners themselves can only estimate which skill sets will be most essential in the months and years to come. Can we accurately forecast workforce needs in the future? 41% 59% YES NO Implications: Although there’s no consensus as to whether accurate workforce forecasting is possible, this data suggests many HR professionals see it as workable and would, therefore, be open to forecasting efforts, methods and tools.
  • 7. 7 Can we model our workforce to optimize cost, profit and productivity? Finding Two: Most Agree We Can Model the Workforce Most respondents (70%) reported that it’s possible to model workforces in such a way as to “optimize cost, profit and productivity.” This implies that most organizations—and society as a whole—have a solid understanding of how to get the most out of today’s human resources. It assumes the following: Only 8% of respondents said workforces cannot be modeled to achieve these aims, but nearly a quarter (22%) reported that they were not sure one way or the other. •• Workforce planners can efficiently hire and allocate skilled people and then place them in the right positions •• Managers are able to organize and engage their direct reports well •• Compensation specialists are good at paying employees enough to keep turnover at acceptable rates but not so much as to weaken profit margins 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 70% YES NOT SURE NO 22% 8% Implications: As with workforce forecasting, a majority of respondents believe in the efficacy of workforce models This implies that HR professionals are willing to base certain decisions on workforce models and may even become willing to participate in the building of such models.
  • 8. 8 Finding Three: There’s Disagreement About the ROI on Human Capital In the field of HR, there have long been debates over whether the return on investment (ROI) on human capital is higher or lower than on other types of assets (e.g., equipment, buildings, infrastructure, etc.). On one side of the debate are those who claim that investing in people via training and expenditures actually raises the value of human capital over time, whereas investments in physical assets, although necessary, must contend with the fact that those assets almost immediately begin to depreciate through wear and tear. On the other side of the debate are those who contend that investments in human capital are fraught with hazard because organizations cannot own those assets.At best, they can only “rent” them.Therefore, an organization may pour thousands of dollars into increasing the skills sets and experience of an employee, only to have them leave the firm and perhaps take those skills to a competing organization. Is the ROI on Human Capital Higher Than Other Investments 48% 28% 24% YES NOT SURE NO Implications: There is no consensus about the ROI on human capital. Therefore, HR professionals should be careful not to assume colleagues will accept ROI claims. If others are to be convinced, HR professionals must demonstrate compelling models and data.
  • 9. 9 Therefore, it’s little wonder that the participants in this study are divided over the question of whether ROI on human capital is higher than other investments.While nearly half say they are, about a quarter say they are not and the other 28% are just not sure. (We should note that some HR professionals object to the very idea of categorizing human beings as capital). ROI not only hinges on abstract issues such as accounting practices, but also on a range of company-specific factors such as turnover rates, training expenses, skill shortages and productivity rates. Another complication, according to the survey results, is that there’s no consensus about the portion of to- day’s workforce that is customer-facing or revenue-generating.About half of the respondents said a majority of the workforce is customer-facing or revenue-generating, and another 27% said the proportion is about half and half. Nonetheless, over three quarters of respondents believe at least half of the workforce directly generates revenue in some way and/or interacts with customers on a regular basis. If managed well, the po- tential ROI on these employees could be very high indeed.
  • 10. 10 Finding Four: There’s Pessimism About Productivity Respondents were asked about workforce productivity. Only 44% said the workforce productivity is increasing, whereas over a third said it was static and almost one in five that it was actually decreasing. Is productivity literally decreasing? Of course, it may be declining in any given annual quarter in any nation, but productivity tends to grow over time in most countries.The problem is that productivity growth has been fairly dismal in the United States, Canada, and various other countries in recent years.Therefore, it’s not surprising to find that many respondents are pessimistic on this score. 44% 36% 19% INCREASING STATIC DECREASING 0 0.05 0.10 0.15 0.20 0.25 0.3 0.35 0.4 0.45 0.5 Implications: The pessimism about productivity suggests a larger crisis of confidence: that management tactics, tools and technologies are not doing a good enough job of making employees more productive. On the other hand, it suggests HR professionals and managers may be willing to invest in machine learning, augmented reality, robotics and other emerging technologies that could significantly affect productivity levels. Is workforce productivity increasing, decreasing or static?
  • 11. 11 Finding Five: It Takes Months for Employees to Reach Full Productivity, But the Process Can Be Speeded Up Over half of the respondents stated that it takes at least five months for the average new hire to reach full productivity, with 32% saying it takes three to four months and 29% saying it takes anywhere from six months to a year. This data suggests that, in today’s economy, relatively few HR and management professionals believe it is easy to get new employees up-to-speed quickly. It takes time and experience, which means that losing fully productive employees to turnover can cause significant drops in overall performance levels. When necessary, however, it’s possible to bring employees up- to-speed a little more quickly.When it comes to employees in critical roles, over half of respondents (55%) believe the average time-to-full productivity is anywhere from 1 to 4 months. By comparison, just 48% said the time to-full productivity for the average new hire was between 1 and 4 months. What is the average time-to-full- productivity for new hires? 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 16% 32% 23% 28% 1-2 MONTHS 3-4 MONTHS 5-6 MONTHS 6MONTHS-1YEAR Implications: There is no magic bullet for ramping up productivity among new hires, but there are tactics that can help quicken the pace. This implies an especially important role for training and development experts, onboarding programs, mentors and coaches when it comes to critical roles.
  • 12. 12 Finding Six: There Are Various Predictive Indicators of Turnover Respondents pointed to a wide variety of issues that can be predictive of turnover. Below are among the top answers to this question: 1. Increased absenteeism 2. Lower engagement levels 3. Lower job satisfaction 4. Lower productivity and performance levels 5. Attitude and morale problems 6. Issues related to pay/remuneration/salary/compensation 7. Low quality of management and supervision 8. Approaching retirement age 9. Inadequate training opportunities 10. Lack of growth opportunities Implications: There is a wide variety of possible predictors of turnover. The question is whether these predictors can be integrated into analytics applications capable of empirically demonstrating their predictive value. Another key question, of course, is whether employers can use such data to reduce the voluntary turnover rates among productive employees.
  • 13. 13 • All must be linked tightly. Employees must be engaged to produce a quality product. Quality products yield returning customers who in turn allow us to generate revenue and make a profit. It starts with the employee. • An un-engaged nurse means a dissatisfied customer, which means patients will go to our competitor. • Employee engagement can create happier employees and increase in productivity, which can lead to customer satisfaction and increase in profit. • Engaged employees influence customer satisfaction, which influences sales. • If employees are disgruntled, it shows in lower customer service and empathy and reduces revenue. • The more engaged our employees are, the more productive they are, the better the quality of work. Some tried to define the relationships among these factors, with responses such as: •• All are interconnected •• Cause and effect relationship •• Direct correlation •• Direct link •• Strong Survey participants were asked, “What is the link between employee engagement, customer satisfaction, revenue and profits?”They responded in a variety of ways. Many simply confirmed that there’s a connection among these five factors, with responses such as: Finding Seven: Most Can Cite Links Among Engagement, Customer Satisfaction and Profits
  • 14. 14 Implications: Respondents tend to believe in the links among employee engagement, customer satisfaction, revenue and profits, but some think this relationship boils down to a larger factor, such as leadership or culture. A few even tried their hand at creating “formulas” such as: And some tried to single out a key issue that links the others together, such as: •• Employee engagement + customer satisfaction = Revenue + profit •• E+CS = R & P exponentially •• ROI + OIR = revenue + profits •• Commitment •• Communication •• Culture •• Employee Satisfaction •• Leadership •• Money •• Performance •• Productivity •• Training •• Work environment
  • 15. 15 Study participants were asked if their organizational leaders effectively manage human capital. Most respondents either answered this question in the negative (44%) or were not sure (19%).This means that less than two fifths of participants stated that their leaders were effectively managing human capital at their organizations. It’s tempting to assume that this is more likely to be a problem among smaller organizations rather than in larger firms.After all, larger firms have more resources to invest in robust leadership development programs. However, the data does not suggest much of a difference.Among respondents from organizations with 20,000 or more employees, for example, nearly half of the respondents said their leaders are not effectively managing human capital, compared with only 31% who said leaders were (the rest were not sure). Are leaders effectively managing human capital at your company? Implication: Managing human capital well is among the hallmarks of good leadership, so it’s worrisome that many respondents do not believe their leaders are effective in this area. It suggests that a lot of organizations are failing to effectively develop, select, promote, measure and reward good leadership. 19% 37% 44% NO YES NOT SURE Finding Eight: Many Respondents Say Their Leaders Do Not Effectively Manage Human Capital
  • 16. 16 Participants were asked if leaders in their organizations “correlate to employee engagement, retention and performance results?” Only about half of the respondents said it did correlate, whereas about a third said it didn’t and 15% didn’t know. Finding Nine: Only Half Say Their Leadership Correlates with Key Human Capital Factors Do leaders correlate to employee engagement, retention and performance results? 34% 51% 15% NO YES NOT SURE Implication: This finding requires more investigation in a future study. Does it imply that half of respondents did not see any relationship, not even a negative one, between leadership and, say, employee engagement? Or does it, as in the previous question, imply that many leaders are bad at engaging workers and enhancing their performance? Whichever interpretation we use, this indicates that many organizations continue to suffer from poor leadership.
  • 17. 17 Respondents were almost evenly split in regard to where their best talent comes from, with 53% saying it came from internal sources and 47% saying it came from external sources. Finding Ten: There Are Disagreements About Where to Find the Best Talent Where does your best talent come from? Implication: Since there’s no consensus, this probably indicates that different types of organizations require different recruitment strategies. For example, an organization with a strong culture, unique product and low turnover is likely to find more talent internally than externally. In contrast, an organization that sells a commodity and has high turnover may do better seeking talent externally. 52% 48% INTERNAL SOURCES EXTERNAL SOURCES
  • 18. Finding Eleven: Referrals are, far and away, the favorite recruiting tool What recruiting source yields the most high performers? Respondents were asked about the best recruiting sources for high performers and the best for finding job candidates who are a good cultural fit. It turns out that in both cases, referrals are by far the favorite recruit- ment sources.About three fifths of respondents said referrals yield the best cultural fit and 53% say they yield the highest performers. There were, however, a few minor differences in terms of how respondents viewed these questions. Social networks and career sites were tied as the second most commonly cited sources for yielding the best cultural fit. However, when it comes to recruiting high performers, social networks were cited less frequently than were career sites and job boards. Implication: The world is rife with social networks, online job boards, career sites, and more. However, employers still believe they derive the greatest value from new hires who have been referred to them by current employees or some other source they know. 53% 15% 14% 9% 4% 0 0.1 0.2 0.3 0.4 0.5 0.6 REFERRALS CAREER SITE JOB BOARDS SOCIAL NETWORKS OTHER 18
  • 19. 19 47% 38% 15% YES NO NOT SURE Finding Twelve: Less Than Half Say They Measure the Quality of New Hires Employers may place a high value on referrals, but that doesn’t mean they necessarily track the quality of their new hires. In fact, fewer than half (47%) stated that they measure the quality of their new hires, whereas about two-fifths said they didn’t and 15% were unsure.This is a surprising finding, given how much is at stake when making new hires. Perhaps this is linked to the fact that so many hires are for entry-level positions.The survey found that most (75%) of respondents stated that entry-level employees had the highest voluntary turnover. Only a fifth said managers did. Do you measure the quality of your new hires? Implication: It’s surprising that so few employers measure the quality of new hires in this era of big data, sophistical software packages, and predictive analytics. To the degree organizations are suffering productivity problems, as inferred in a previous question, they may well benefit by tracking how well new hires work out for their organizations.
  • 20. 20 Top Takeaways •• Gauge the degree to which your leaders are skilled in human capital management.This study suggests many leaders are viewed as having poor skills in this area.They have a hard time “moving the needle” in terms of employee engagement, retention or performance. If organizations wish to establish leadership success metrics, they should consider running correlations between those metrics and other organizational needs: engagement, retention of valuable talent, workforce productivity and business performance. •• Consider establishing quality-of-hire metrics. Fewer than half of the respondents say their firms have such metrics, yet recruitment is the life blood of any organization. •• Investigate ways of shortening the time-to-full-productivity for employees.This study shows that organizations can find ways of shortening the cycle for critical positions. If some of the same techniques can be cost-effectively established for other positions, then a net gain in productivity could be substantial. •• Measure and hone the employee referral process. Referrals are widely viewed as the best source for recruiting high performers as well as those who fit the culture well. •• Be proactive in the area of human capital management.The study indicates that many participants are optimistic that we collectively have the ability to accurately model and forecast workforce trends.To do this well, companies require robust and reliable data, both from internal and external sources.