Track key metrics to ensure efficient, effective staff management
DOI | http://doi.org/10.1002/nba.30436 |
Published date | 01 April 2018 |
Date | 01 April 2018 |
APRIL 2018 NONPROFIT BUSINESS ADVISOR
5
© 2018 Wiley Periodicals, Inc., A Wiley Company • All rights reserved
DOI: 10.1002/nba
Human Resources
Track key metrics to ensure efcient, effective
staff management
While large charities with hundreds of employees
in chapters across the country might be on the fore-
front of human resources data analytics, most smaller
organizations with just a handful of employees likely
are not� Often, they are unsure of what HR data
analysis could do for their organizations, or even
where to start in collecting relevant information� As
a result, many small charities are missing out on valu-
able insight that could help them in their missions,
experts say�
According to Alicia Schoshinski of Nonprot
HR, even the smallest of nonprots can benet from
tracking just a few key metrics that help get an idea of
what HR issues are presenting the biggest challenges
for the organization, and whether deeper investments
in HR are worth the expense�
“No matter the size of the organization, there
are still things to track” that can be useful in setting
goals and driving decision-making in the organiza-
tion, she said�
In a blog post on this topic, Schoshinski explained
that tracking HR metrics helps an organization:
• Identify problems or opportunities�
• Develop workforce goals and objectives aligned
with your organization’s strategic plan�
• Develop methods to achieve them�
• Determine how to assess and monitor future
performance�
These metrics—which range from staff turnover
and offer acceptance rates to the cost of HR per
employee and even diversity ratios for new hires—all
can help guide decision-making and thereby improve
organizational development, employee effectiveness
and the organization’s competitiveness as an em-
ployer, Schoshinski said�
For smaller charities, Schoshinski said, some data
might not be as useful as it is for larger organiza-
tions—for example, hard numbers on staff turnover
rates might not be as meaningful when you only
have ve employees, and in such a small ofce, no
complicated data analytics are needed to see and
understand the impact of employee turnover� But
in other cases, some baseline data can help identify
issues of concern, she said, especially in light of the
difculties nonprots of all sizes and types report
when it comes to employee recruitment and retention�
“Are they able to compete with other organizations
in attracting top talent? And if they are able to attract
qualied employees, how good are they at keeping
them there?” she asked�
Schoshinski explained that there are two general
types of metrics to track—human capital metrics,
like recruitment metrics, benets and compensa-
tion metrics, employee demographic metrics and
employee engagement metrics; and human resource
productivity measures, which assess the efciency and
effectiveness of the HR department itself—in essence,
an evaluation of the return on investment for the HR
function� Determining which of these to focus on
depends on what the ultimate goal is, she said�
“They should ask, what is it that the CEO, the
board and their donors need to know in order to
make better decisions?” she said�
Some metrics can help identify which HR-related
issues nonprots are facing, while other data are
needed to support a solution to that challenge� For
example, low offer acceptance rates can signal the
organization is having trouble recruiting top talent,
while a look at compensation rates—and how they
compare to other organizations of the same size in
their eld—can show whether it’s a matter of sal-
ary and benets or something else that’s turning off
potential hires�
On its website, Nonprot HR lists a wide variety
of metrics that organizations should be tracking—in-
cluding average tenure of employees, average promo-
tion wait time, promotion ratio, rst-year resignation
ratio, one-year involuntary turnover ratio and total
cost of HR per employee—although Schoshinski
said it’s not necessary for smaller nonprots to cover
all of these—at least not yet� If they are just starting
out, it’s best to focus on just two or three key data
points to get an understanding of where they stand
in comparison to their peers�
Schoshinski recommended collecting data on com-
pensation and benets and offer acceptance rates, at
the least, and checking it against benchmark survey
data from sources such as the Bureau of Labor Sta-
tistics, the Bureau for National Affairs, Nonprot
(See METRICS on page 8)
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